About us Located in Milton Keynes, F&F Stores is a rapidly expanding E-commerce business that thrives on bringing licensed products from beloved brands like Disney, Marvel, Minecraft and iconic football clubs directly to your doorstep. Our high-quality products include a wide range for the whole family, from toys and fashion to home accessories and beauty items, found on popular E-commerce marketplaces and our own e-commerce website. Location: Office-based, in Milton Keynes Contract: Full-time, Permanent Number of vacancies: 2 Salary: £60,000 - £65,000 Reports directly to: Directors / Business Owners Direct Reports / Team Structure: Category Managers, PPC Executives, Commercial Analyst, Demand Planner, Copywriter, Listings Uploaders, Account Health / Operations Specialist. The role is accountable for setting direction, priorities, performance expectations, and outcomes for this team. The Amazon Account Head is the single accountable owner of the Amazon business in the North America market. This role holds full responsibility for the commercial, operational, and account health performance of all Amazon marketplaces in this market. The role owns delivery against the agreed P&L (built by Finance), leads demand planning decisions, controls trading and PPC execution, manages Amazon relationships, and protects account health. Support functions contribute to execution; accountability for outcomes remains with this role. This is a senior ownership role with clear authority and responsibility for results. Key Accountabilities 1. P&L Delivery and Commercial Ownership - Deliver the agreed Amazon P&L across revenue, margin, and contribution. - Own performance against budget and forecast, including variance analysis and corrective action. - Actively manage margin drivers including pricing, promotions, Amazon fees, PPC efficiency, fulfilment, and storage costs. - Ensure all trading decisions are commercially justified with clear profit, cash, and stock impact. - Work with Finance to inform reforecasts and explain performance outcomes clearly and proactively. 2. Amazon Account Ownership and Relationship Management - Act as the single accountable owner for the Amazon account in the North America market. - Own all interactions with Amazon, including operational, commercial, and strategic discussions. - Lead Amazon performance reviews, escalations, and issue resolution. - Represent the business confidently and commercially in all Amazon-facing engagements. - Evaluate and drive participation in Amazon programmes where they deliver commercial value. 3. Account Health Ownership and Risk Management - Own and protect Amazon Account Health across the North America market. - Set standards and expectations for the Account Health/Operations function. - Proactively monitor policy compliance, performance metrics, and risk indicators. - Lead responses to account health warnings, investigations, or suspensions. - Ensure corrective actions are implemented, documented, and sustained. - Prevent avoidable account health incidents through proactive control and escalation. 4. Demand Planning Leadership - Lead demand planning decisions for the North America market. - Direct the Demand Planner on forecasts, demand signals, and replenishment priorities. - Define stock allocation requirements across marketplaces. - Own sell-through targets and exit strategies for slow-moving or underperforming stock. - Actively manage risks relating to stock shortages, excess inventory, and aged stock exposure. - Take accountability for the commercial consequences of demand planning decisions. 5. Trading, Pricing, and Promotions - Own Amazon trading strategy and execution in the North America market. - Direct Category Managers on range strategy and SKU-level performance management. - Set and execute pricing strategies aligned to margin targets and competitive positioning. - Approve and control promotions, deals, and discounting activity. - Review SKU-level performance and take decisive action on underperforming products. - Balance growth opportunities with margin protection and stock risk. 6. PPC and Traffic Control - Own PPC direction, execution, and outcomes. - Set targets and priorities for PPC Executives. - Ensure PPC spend is ROI-driven, stock-aware, and margin-led. - Monitor and optimise TACoS, ACOS, conversion rates, and organic vs paid mix. - Pause, scale, or redirect spend based on performance and inventory position. - Hold PPC execution accountable to commercial outcomes. 7. Catalogue, Content, and Listing Standards - Set standards for listing quality, content accuracy, and brand presentation. - Direct the Copywriter and Listings Uploaders on priorities and execution. - Ensure catalogue structure supports discoverability, conversion, and compliance. - Oversee new product launches and listing readiness. 8. Cross-Functional Leadership and Execution - Direct execution across PPC, Supply Chain, Compliance, Finance, and Operations. - Set clear priorities, actions, and deadlines for Amazon initiatives. - Escalate risks early and drive resolution across teams. - Ensure accountability and follow-through on agreed actions. 9. Performance Reporting and Insight - Own performance reporting cadence. - Deliver weekly trading updates and monthly performance reviews. - Analyse performance across revenue, margin, PPC, and stock health. - Direct the Commercial Analyst on insight generation and analysis. - Provide clear, actionable insights to senior stakeholders. - Translate insight into decisions and actions with clear ownership. 10. Compliance and Operational Readiness - Ensure products are compliant, correctly labelled, and sellable upon arrival. - Work with Compliance and Supply Chain to prevent blocked inventory or listing suspensions. - Maintain operational readiness for peak and seasonal trading. Measures of Success - Amazon P&L delivered in line with plan. - Strong leadership and performance of the Amazon team. - Stable and proactive account health management. - Accurate, trading-led demand decisions. - Controlled stock risk and storage exposure. - Profitable PPC performance. - Clear ownership demonstrated in both success and failure. Required Skills & Experience - Proven Amazon Expertise: Deep understanding of Amazon marketplace operations, trading, PPC, and account health management. - Commercial Acumen: Experience owning P&L, managing budgets, driving margin, and making data-driven trading decisions. - Analytical Skills: Ability to interpret complex datasets, analyse performance metrics, and translate insights into actionable business decisions. - Leadership & People Management: Track record of leading cross-functional teams, influencing stakeholders, and driving execution in a fast-paced environment. - Relationship Management: Strong capability in managing commercial relationships with Amazon and third-party partners. - Demand Planning Knowledge: Experience in forecasting, stock allocation, and inventory risk management. - Operational Excellence: Understanding of compliance, operational readiness, and catalogue/content standards. - Strategic Thinking: Ability to balance short-term trading decisions with long-term business objectives. - Communication Skills: Excellent verbal and written communication skills, with the ability to present complex information clearly to senior stakeholders. - Problem-Solving & Resilience: Proven ability to manage high-pressure situations, resolve escalations, and maintain account health proactively. Benefits: Casual dress; On-site parking; Employee Assistance Programme; Bright Exchange; Regular social events including summer & end of year parties.; Spontaneous employee well-being treats; An Amazon Birthday voucher; Vouchers at Christmas to shop with F&F; Staff Purchases; NEST Pension; Private medical insurance with Vitality health with various benefits including discounts on a gym membership. Please note: We do not accept unsolicited or speculative CVs from recruitment agencies. Any such submissions will not give rise to a fee or commission if the candidate is subsequently hired via direct application or an instructed recruitment partner.
Feb 04, 2026
Full time
About us Located in Milton Keynes, F&F Stores is a rapidly expanding E-commerce business that thrives on bringing licensed products from beloved brands like Disney, Marvel, Minecraft and iconic football clubs directly to your doorstep. Our high-quality products include a wide range for the whole family, from toys and fashion to home accessories and beauty items, found on popular E-commerce marketplaces and our own e-commerce website. Location: Office-based, in Milton Keynes Contract: Full-time, Permanent Number of vacancies: 2 Salary: £60,000 - £65,000 Reports directly to: Directors / Business Owners Direct Reports / Team Structure: Category Managers, PPC Executives, Commercial Analyst, Demand Planner, Copywriter, Listings Uploaders, Account Health / Operations Specialist. The role is accountable for setting direction, priorities, performance expectations, and outcomes for this team. The Amazon Account Head is the single accountable owner of the Amazon business in the North America market. This role holds full responsibility for the commercial, operational, and account health performance of all Amazon marketplaces in this market. The role owns delivery against the agreed P&L (built by Finance), leads demand planning decisions, controls trading and PPC execution, manages Amazon relationships, and protects account health. Support functions contribute to execution; accountability for outcomes remains with this role. This is a senior ownership role with clear authority and responsibility for results. Key Accountabilities 1. P&L Delivery and Commercial Ownership - Deliver the agreed Amazon P&L across revenue, margin, and contribution. - Own performance against budget and forecast, including variance analysis and corrective action. - Actively manage margin drivers including pricing, promotions, Amazon fees, PPC efficiency, fulfilment, and storage costs. - Ensure all trading decisions are commercially justified with clear profit, cash, and stock impact. - Work with Finance to inform reforecasts and explain performance outcomes clearly and proactively. 2. Amazon Account Ownership and Relationship Management - Act as the single accountable owner for the Amazon account in the North America market. - Own all interactions with Amazon, including operational, commercial, and strategic discussions. - Lead Amazon performance reviews, escalations, and issue resolution. - Represent the business confidently and commercially in all Amazon-facing engagements. - Evaluate and drive participation in Amazon programmes where they deliver commercial value. 3. Account Health Ownership and Risk Management - Own and protect Amazon Account Health across the North America market. - Set standards and expectations for the Account Health/Operations function. - Proactively monitor policy compliance, performance metrics, and risk indicators. - Lead responses to account health warnings, investigations, or suspensions. - Ensure corrective actions are implemented, documented, and sustained. - Prevent avoidable account health incidents through proactive control and escalation. 4. Demand Planning Leadership - Lead demand planning decisions for the North America market. - Direct the Demand Planner on forecasts, demand signals, and replenishment priorities. - Define stock allocation requirements across marketplaces. - Own sell-through targets and exit strategies for slow-moving or underperforming stock. - Actively manage risks relating to stock shortages, excess inventory, and aged stock exposure. - Take accountability for the commercial consequences of demand planning decisions. 5. Trading, Pricing, and Promotions - Own Amazon trading strategy and execution in the North America market. - Direct Category Managers on range strategy and SKU-level performance management. - Set and execute pricing strategies aligned to margin targets and competitive positioning. - Approve and control promotions, deals, and discounting activity. - Review SKU-level performance and take decisive action on underperforming products. - Balance growth opportunities with margin protection and stock risk. 6. PPC and Traffic Control - Own PPC direction, execution, and outcomes. - Set targets and priorities for PPC Executives. - Ensure PPC spend is ROI-driven, stock-aware, and margin-led. - Monitor and optimise TACoS, ACOS, conversion rates, and organic vs paid mix. - Pause, scale, or redirect spend based on performance and inventory position. - Hold PPC execution accountable to commercial outcomes. 7. Catalogue, Content, and Listing Standards - Set standards for listing quality, content accuracy, and brand presentation. - Direct the Copywriter and Listings Uploaders on priorities and execution. - Ensure catalogue structure supports discoverability, conversion, and compliance. - Oversee new product launches and listing readiness. 8. Cross-Functional Leadership and Execution - Direct execution across PPC, Supply Chain, Compliance, Finance, and Operations. - Set clear priorities, actions, and deadlines for Amazon initiatives. - Escalate risks early and drive resolution across teams. - Ensure accountability and follow-through on agreed actions. 9. Performance Reporting and Insight - Own performance reporting cadence. - Deliver weekly trading updates and monthly performance reviews. - Analyse performance across revenue, margin, PPC, and stock health. - Direct the Commercial Analyst on insight generation and analysis. - Provide clear, actionable insights to senior stakeholders. - Translate insight into decisions and actions with clear ownership. 10. Compliance and Operational Readiness - Ensure products are compliant, correctly labelled, and sellable upon arrival. - Work with Compliance and Supply Chain to prevent blocked inventory or listing suspensions. - Maintain operational readiness for peak and seasonal trading. Measures of Success - Amazon P&L delivered in line with plan. - Strong leadership and performance of the Amazon team. - Stable and proactive account health management. - Accurate, trading-led demand decisions. - Controlled stock risk and storage exposure. - Profitable PPC performance. - Clear ownership demonstrated in both success and failure. Required Skills & Experience - Proven Amazon Expertise: Deep understanding of Amazon marketplace operations, trading, PPC, and account health management. - Commercial Acumen: Experience owning P&L, managing budgets, driving margin, and making data-driven trading decisions. - Analytical Skills: Ability to interpret complex datasets, analyse performance metrics, and translate insights into actionable business decisions. - Leadership & People Management: Track record of leading cross-functional teams, influencing stakeholders, and driving execution in a fast-paced environment. - Relationship Management: Strong capability in managing commercial relationships with Amazon and third-party partners. - Demand Planning Knowledge: Experience in forecasting, stock allocation, and inventory risk management. - Operational Excellence: Understanding of compliance, operational readiness, and catalogue/content standards. - Strategic Thinking: Ability to balance short-term trading decisions with long-term business objectives. - Communication Skills: Excellent verbal and written communication skills, with the ability to present complex information clearly to senior stakeholders. - Problem-Solving & Resilience: Proven ability to manage high-pressure situations, resolve escalations, and maintain account health proactively. Benefits: Casual dress; On-site parking; Employee Assistance Programme; Bright Exchange; Regular social events including summer & end of year parties.; Spontaneous employee well-being treats; An Amazon Birthday voucher; Vouchers at Christmas to shop with F&F; Staff Purchases; NEST Pension; Private medical insurance with Vitality health with various benefits including discounts on a gym membership. Please note: We do not accept unsolicited or speculative CVs from recruitment agencies. Any such submissions will not give rise to a fee or commission if the candidate is subsequently hired via direct application or an instructed recruitment partner.
Finance Analyst - Stock & Operations Manchester 28,000 - 32,000 + benefits Onsite Consumer / E-commerce / Retail This is an exciting opportunity to join a fast-growing, founder-led consumer business operating at significant scale. The company is experiencing rapid growth driven by digital and social commerce demand, creating complexity across stock management, fulfilment, and operational decision-making. The business is fast-paced, entrepreneurial, and highly commercial. This role sits close to senior decision-makers and focuses on turning financial and operational data into insight that directly impacts margin, cost control, and customer experience. The Role This is a newly created Finance Analyst role designed to improve visibility and decision-making across stock, cancellations, and operational performance. The focus is on actionable insight rather than reporting for reporting's sake. You will support Finance and Operations leadership by identifying risks, inefficiencies, and opportunities for cost savings across the supply chain. Key responsibilities include: Analyse stock levels, stock movement, and availability across the business, highlighting risks to sales and customer experience Identify patterns leading to overstocking, stockouts, and inefficiencies Own reporting on order cancellations and refunds, identifying root causes such as stock issues, fulfilment delays, or system errors Track trends over time and flag issues before they escalate Quantify the commercial impact of cancellations, lost revenue, and avoidable cost Produce regular, clear reporting for Finance and senior leadership teams Identify cost leakage across operations and fulfilment, supporting margin improvement Support decisions around warehouse efficiency, logistics performance, and service levels Improve data accuracy and consistency across finance, operations, and e-commerce systems Help shift the business from reactive reporting to proactive, insight-led decision-making This role works closely with Finance, Operations, E-commerce, and Customer Service teams and offers high exposure to commercial decision-making. About You This role is well suited to a strong graduate or junior analyst looking to build a career in a commercial finance environment. A strong analytical or numerical background (e.g. Maths, Statistics, Economics, Finance, Data Science, or similar) Experience working with data in a professional, placement, or internship environment Strong Excel or Google Sheets skills The ability to interpret data and explain financial insight clearly to non-technical stakeholders Enjoys problem-solving and asking "why" Is comfortable working with imperfect data in a fast-moving business What's on Offer A hands-on, commercially focused finance role Close exposure to senior leadership and operational decision-making Opportunity to make a visible impact quickly Supportive, collaborative working culture Up to 32,000 and benefits package Zachary Daniels and our client are both equal opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. Zachary Daniels is a Niche, National & International Recruitment Consultancy. Specialising in Buying, Merchandising & Ecommerce Design, Technical, Wholesale & Production Finance HR & Talent H&S & Compliance Marketing, Digital & Technology Property & Centre Management Retail, Trade, Leisure & Wholesale Operations Senior Appointments & Exec Sales Supply Chain & Logistics BBBH35304
Feb 04, 2026
Full time
Finance Analyst - Stock & Operations Manchester 28,000 - 32,000 + benefits Onsite Consumer / E-commerce / Retail This is an exciting opportunity to join a fast-growing, founder-led consumer business operating at significant scale. The company is experiencing rapid growth driven by digital and social commerce demand, creating complexity across stock management, fulfilment, and operational decision-making. The business is fast-paced, entrepreneurial, and highly commercial. This role sits close to senior decision-makers and focuses on turning financial and operational data into insight that directly impacts margin, cost control, and customer experience. The Role This is a newly created Finance Analyst role designed to improve visibility and decision-making across stock, cancellations, and operational performance. The focus is on actionable insight rather than reporting for reporting's sake. You will support Finance and Operations leadership by identifying risks, inefficiencies, and opportunities for cost savings across the supply chain. Key responsibilities include: Analyse stock levels, stock movement, and availability across the business, highlighting risks to sales and customer experience Identify patterns leading to overstocking, stockouts, and inefficiencies Own reporting on order cancellations and refunds, identifying root causes such as stock issues, fulfilment delays, or system errors Track trends over time and flag issues before they escalate Quantify the commercial impact of cancellations, lost revenue, and avoidable cost Produce regular, clear reporting for Finance and senior leadership teams Identify cost leakage across operations and fulfilment, supporting margin improvement Support decisions around warehouse efficiency, logistics performance, and service levels Improve data accuracy and consistency across finance, operations, and e-commerce systems Help shift the business from reactive reporting to proactive, insight-led decision-making This role works closely with Finance, Operations, E-commerce, and Customer Service teams and offers high exposure to commercial decision-making. About You This role is well suited to a strong graduate or junior analyst looking to build a career in a commercial finance environment. A strong analytical or numerical background (e.g. Maths, Statistics, Economics, Finance, Data Science, or similar) Experience working with data in a professional, placement, or internship environment Strong Excel or Google Sheets skills The ability to interpret data and explain financial insight clearly to non-technical stakeholders Enjoys problem-solving and asking "why" Is comfortable working with imperfect data in a fast-moving business What's on Offer A hands-on, commercially focused finance role Close exposure to senior leadership and operational decision-making Opportunity to make a visible impact quickly Supportive, collaborative working culture Up to 32,000 and benefits package Zachary Daniels and our client are both equal opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. Zachary Daniels is a Niche, National & International Recruitment Consultancy. Specialising in Buying, Merchandising & Ecommerce Design, Technical, Wholesale & Production Finance HR & Talent H&S & Compliance Marketing, Digital & Technology Property & Centre Management Retail, Trade, Leisure & Wholesale Operations Senior Appointments & Exec Sales Supply Chain & Logistics BBBH35304
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Delivery Lead- Senior Manager - English (ANA020316) Delivery Lead- Senior Manager - English - ANA020316 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Delivery Lead! Responsibilities 1. Use Case Development & Solution Design Identify, prioritize, and develop high-value analytics use cases across retail functions such as demand forecasting, price & promotion optimization, inventory planning, customer segmentation, and store performance analytics. Translate business needs into analytical problem statements, selecting the right methodologies and data sources. Build business cases, quantify ROI, and work with stakeholders to ensure adoption. 2. Advanced Modeling & Analytical Execution Develop, validate, and deploy machine learning/statistical models (e.g., time-series forecasting, recommendation systems, propensity models, optimization algorithms). Apply financial modeling and accounting understanding to design solutions that tie directly to revenue, margin, cost, and profitability metrics. Conduct exploratory data analysis, feature engineering, and model performance tracking. 3. Data Architecture & Engineering Collaboration Partner with data engineering teams to define data requirements, improve data quality, and optimize pipelines for scalable model deployment. Work within cloud environments (AWS, GCP, Azure) to operationalize models and automate analytics workflows. 4. Business Partnership & Communication Present insights and model outcomes to senior executives in Finance, Operations, and Commercial teams. Build strong relationships with business units to enable data-driven decision-making. Conduct workshops and analytics roadmapping sessions with functional leaders. Implement best practices in model governance, version control, monitoring, and documentation. Lead continuous improvement initiatives to refine models, data processes, and solution performance. Delivery Leadership & Program Management Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment. Manage timelines, budgets, quality standards, and stakeholder expectations for all analytics deliverables. Establish governance frameworks, delivery methodologies, and best practices for analytics program execution. Technical & Analytical Oversight Guide data scientists, analysts, and engineers in developing advanced analytical models (e.g., predictive modeling, optimization, NLP, computer vision). Ensure quality, scalability, and interpretability of analytics outputs. Champion the use of modern data science tools, AI/ML platforms, and cloud-based analytics ecosystems (Azure, AWS, or GCP). Lead, mentor, and inspire cross-functional analytics teams to deliver excellence. Foster a culture of innovation, collaboration, and continuous learning. Support hiring, training, and career development of analytics talent. Strategic Impact & Innovation Identify and prioritize high-value use cases across the CGR lifecycle - such as demand forecasting, trade optimization, portfolio mix analysis, consumer segmentation, and digital shelf analytics. Drive adoption of advanced analytics solutions across the organization to unlock revenue growth and operational efficiency. Stay abreast of emerging technologies and trends in AI, GenAI, and data science relevant to the CGR domain. Qualifications Minimum Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, Finance, Engineering, or related field. Preferred Qualifications / Skills Master's degree in Data Science, Statistics Relevant years of experience in data science, advanced analytics, or machine learning roles. Demonstrated experience developing retail analytics use cases (e.g., demand forecasting, price optimization, customer analytics, churn prediction, assortment planning). Strong knowledge of finance, accounting fundamentals, and P&L drivers. Expertise in Python or R, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). Experience working with cloud platforms (AWS/GCP/Azure) and modern data stacks. Strong understanding of data modeling, version control (Git), and model deployment practices. Exceptional communication skills, with the ability to translate complex analytics into clear business recommendations. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.
Feb 03, 2026
Full time
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Delivery Lead- Senior Manager - English (ANA020316) Delivery Lead- Senior Manager - English - ANA020316 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Delivery Lead! Responsibilities 1. Use Case Development & Solution Design Identify, prioritize, and develop high-value analytics use cases across retail functions such as demand forecasting, price & promotion optimization, inventory planning, customer segmentation, and store performance analytics. Translate business needs into analytical problem statements, selecting the right methodologies and data sources. Build business cases, quantify ROI, and work with stakeholders to ensure adoption. 2. Advanced Modeling & Analytical Execution Develop, validate, and deploy machine learning/statistical models (e.g., time-series forecasting, recommendation systems, propensity models, optimization algorithms). Apply financial modeling and accounting understanding to design solutions that tie directly to revenue, margin, cost, and profitability metrics. Conduct exploratory data analysis, feature engineering, and model performance tracking. 3. Data Architecture & Engineering Collaboration Partner with data engineering teams to define data requirements, improve data quality, and optimize pipelines for scalable model deployment. Work within cloud environments (AWS, GCP, Azure) to operationalize models and automate analytics workflows. 4. Business Partnership & Communication Present insights and model outcomes to senior executives in Finance, Operations, and Commercial teams. Build strong relationships with business units to enable data-driven decision-making. Conduct workshops and analytics roadmapping sessions with functional leaders. Implement best practices in model governance, version control, monitoring, and documentation. Lead continuous improvement initiatives to refine models, data processes, and solution performance. Delivery Leadership & Program Management Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment. Manage timelines, budgets, quality standards, and stakeholder expectations for all analytics deliverables. Establish governance frameworks, delivery methodologies, and best practices for analytics program execution. Technical & Analytical Oversight Guide data scientists, analysts, and engineers in developing advanced analytical models (e.g., predictive modeling, optimization, NLP, computer vision). Ensure quality, scalability, and interpretability of analytics outputs. Champion the use of modern data science tools, AI/ML platforms, and cloud-based analytics ecosystems (Azure, AWS, or GCP). Lead, mentor, and inspire cross-functional analytics teams to deliver excellence. Foster a culture of innovation, collaboration, and continuous learning. Support hiring, training, and career development of analytics talent. Strategic Impact & Innovation Identify and prioritize high-value use cases across the CGR lifecycle - such as demand forecasting, trade optimization, portfolio mix analysis, consumer segmentation, and digital shelf analytics. Drive adoption of advanced analytics solutions across the organization to unlock revenue growth and operational efficiency. Stay abreast of emerging technologies and trends in AI, GenAI, and data science relevant to the CGR domain. Qualifications Minimum Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, Finance, Engineering, or related field. Preferred Qualifications / Skills Master's degree in Data Science, Statistics Relevant years of experience in data science, advanced analytics, or machine learning roles. Demonstrated experience developing retail analytics use cases (e.g., demand forecasting, price optimization, customer analytics, churn prediction, assortment planning). Strong knowledge of finance, accounting fundamentals, and P&L drivers. Expertise in Python or R, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). Experience working with cloud platforms (AWS/GCP/Azure) and modern data stacks. Strong understanding of data modeling, version control (Git), and model deployment practices. Exceptional communication skills, with the ability to translate complex analytics into clear business recommendations. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.
A leading Retail insurer is hiring a Senior Portfolio Pricing Analyst to strengthen its Pricing function in Manchester. The role focuses on delivering performance insights, forecasting and portfolio analysis to support commercial decision-making across multiple Retail lines. What you'll be doing Analysing portfolio performance and key drivers across products/channels Producing LR/COR forecasts, profit trajectories and budgeting insights Working with Pricing, Finance, Claims and Reserving teams to improve outcomes Providing actionable, data-led recommendations based on internal & external data What we're looking for Experience in insurance pricing, portfolio, trading or actuarial analytics Strong data analysis skills and ability to communicate insights clearly Exposure to tools such as Python, SQL, Power BI, EMBLEM, RADAR, Databricks (or similar) Understanding of Retail performance metrics (LR, COR, forecasts etc.) Location & Setup Manchester Hybrid: c.2-3 days per week in office
Feb 03, 2026
Full time
A leading Retail insurer is hiring a Senior Portfolio Pricing Analyst to strengthen its Pricing function in Manchester. The role focuses on delivering performance insights, forecasting and portfolio analysis to support commercial decision-making across multiple Retail lines. What you'll be doing Analysing portfolio performance and key drivers across products/channels Producing LR/COR forecasts, profit trajectories and budgeting insights Working with Pricing, Finance, Claims and Reserving teams to improve outcomes Providing actionable, data-led recommendations based on internal & external data What we're looking for Experience in insurance pricing, portfolio, trading or actuarial analytics Strong data analysis skills and ability to communicate insights clearly Exposure to tools such as Python, SQL, Power BI, EMBLEM, RADAR, Databricks (or similar) Understanding of Retail performance metrics (LR, COR, forecasts etc.) Location & Setup Manchester Hybrid: c.2-3 days per week in office
6-month interim finance role starting ASAP Senior FP&A Analyst (6 month Contract)Client: Consumer business in Bath Salary: £55-60kHybrid (3 days on site / 2 WFH)Interviews ASAP/ Immediate Start The Hays senior finance interim & contracts team are in the market for senior financial analysts/ FP&A contractors, to help support on a 6 month Senior FP&A role in Bath. This role is central to supporting high level financial performance and influencing strategic decision making across key operational functions.Working directly with the Director of FP&A, the successful contractor will lead budgeting, reforecasting, and commercial analysis, providing meaningful insight to senior stakeholders across the business. This is a great opportunity for a technically strong, commercially minded FP&A professional who thrives in a fast moving environment. Key ResponsibilitiesPartner with senior operational leads across areas including office salaries, warehouse operations, goods out, and royalties, delivering clear, insight driven reporting and analysis.Build and maintain scalable reporting tools that enhance budget and forecast visibility, ensuring robust financial control across key business areas.Support the ongoing development of FP&A systems including Pigment, NetSuite, Big Query, Superset and advanced Excel modelling.Work closely with the Director of FP&A to prepare monthly C suite reporting packs and provide strategic insights.Deliver commercial analysis that directly influences EBITDA performance through challenge, collaboration, and high quality financial insight.What You Will Bring:Qualified accountant (ACA / CIMA / ACCA) with a strong performance track record.Excellent communication and stakeholder management skills, with the ability to influence at senior levels.Experience working in an international environment under IFRS (advantageous).Prior experience in retail or a dedicated FP&A function is desirable.Strong systems capability including FP&A tools, ERP systems (e.g. NetSuite), SQL based reporting (BigQuery, Power BI), and advanced Excel.If you are available immediately & meet the criteria above, please reach out to Charles Maidment from the Hays finance contracts team here in Bath/Bristol. #
Feb 03, 2026
Seasonal
6-month interim finance role starting ASAP Senior FP&A Analyst (6 month Contract)Client: Consumer business in Bath Salary: £55-60kHybrid (3 days on site / 2 WFH)Interviews ASAP/ Immediate Start The Hays senior finance interim & contracts team are in the market for senior financial analysts/ FP&A contractors, to help support on a 6 month Senior FP&A role in Bath. This role is central to supporting high level financial performance and influencing strategic decision making across key operational functions.Working directly with the Director of FP&A, the successful contractor will lead budgeting, reforecasting, and commercial analysis, providing meaningful insight to senior stakeholders across the business. This is a great opportunity for a technically strong, commercially minded FP&A professional who thrives in a fast moving environment. Key ResponsibilitiesPartner with senior operational leads across areas including office salaries, warehouse operations, goods out, and royalties, delivering clear, insight driven reporting and analysis.Build and maintain scalable reporting tools that enhance budget and forecast visibility, ensuring robust financial control across key business areas.Support the ongoing development of FP&A systems including Pigment, NetSuite, Big Query, Superset and advanced Excel modelling.Work closely with the Director of FP&A to prepare monthly C suite reporting packs and provide strategic insights.Deliver commercial analysis that directly influences EBITDA performance through challenge, collaboration, and high quality financial insight.What You Will Bring:Qualified accountant (ACA / CIMA / ACCA) with a strong performance track record.Excellent communication and stakeholder management skills, with the ability to influence at senior levels.Experience working in an international environment under IFRS (advantageous).Prior experience in retail or a dedicated FP&A function is desirable.Strong systems capability including FP&A tools, ERP systems (e.g. NetSuite), SQL based reporting (BigQuery, Power BI), and advanced Excel.If you are available immediately & meet the criteria above, please reach out to Charles Maidment from the Hays finance contracts team here in Bath/Bristol. #
Are you a Credit Risk Manager with proven experience developing and validating retail credit risk models under IFRS 9 and/or IRB ideally within Tier 1 banks, challenger banks, or consultancies? Have a deep understanding of PRA and EBA guidelines and Basel regulatory frameworks plus strong programming skills in Python, SAS, and SQL? Do you live within a commutable distance of Central London and seeking a new Credit Risk Manager opportunity offering a competitive salary, hybrid working and 1st class benefits? Our client is a leading financial consultancy with a fantastic opportunity for an experienced Credit Risk Manager to join them and lead the development of retail credit risk models under IFRS 9 and IRB frameworks. This would be a superb move for a highly skilled risk professional to take ownership of end-to-end model development while managing a talented team of Senior Consultants. The successful candidate will report directly to the Partner/Technical Director and play a key role in delivering regulatory-compliant, business-relevant credit risk models to major banking clients and the key responsibilities are summarised below:- Lead the design, enhancement, and maintenance of retail credit risk models (PD, LGD, and EAD) under IFRS 9 and IRB. Manage and mentor a team of Senior Consultants to deliver high-quality, robust, and compliant modelling solutions. Ensure all models meet PRA, EBA, and Basel 3.1 regulatory standards. Conduct and review statistical analysis, calibration, back-testing, and monitoring to ensure model accuracy and performance. Provide technical expertise in Python, SAS, and SQL for model development and validation. Engage confidently with regulators, validation teams, and senior stakeholders, communicating complex results clearly. Promote innovation by integrating machine learning and advanced analytics into modelling approaches. Oversee project timelines, resources, and deliverables to meet internal and client expectations. Contribute to training, mentoring, and capability development across the modelling team. Maintain full documentation and governance across all model risk management activities. Our client would be particularly interested in candidates with an MSc or PhD in a quantitative field (e.g. Mathematics, Statistics, Economics, or Finance) who has developed & validated retail credit risk models under IFRS 9 and/or IRB ideally within a banking or consultancy environment, You should also have a solid grasp of statistical techniques such as logistic regression, survival analysis, and machine learning as well as excellent stakeholder management and communication skills. Experience of managing or mentoring analysts or consultants in a modelling environment would also be an advantage as well as 1st class project management and organisational abilities. This is an excellent opportunity to take on a leadership role within a high-performing consultancy known for technical excellence and strong regulatory relationships. The role offers career progression, diverse project exposure, and flexible working options. Interested? Then please forward your CV NOW for further details and consultation.
Feb 02, 2026
Full time
Are you a Credit Risk Manager with proven experience developing and validating retail credit risk models under IFRS 9 and/or IRB ideally within Tier 1 banks, challenger banks, or consultancies? Have a deep understanding of PRA and EBA guidelines and Basel regulatory frameworks plus strong programming skills in Python, SAS, and SQL? Do you live within a commutable distance of Central London and seeking a new Credit Risk Manager opportunity offering a competitive salary, hybrid working and 1st class benefits? Our client is a leading financial consultancy with a fantastic opportunity for an experienced Credit Risk Manager to join them and lead the development of retail credit risk models under IFRS 9 and IRB frameworks. This would be a superb move for a highly skilled risk professional to take ownership of end-to-end model development while managing a talented team of Senior Consultants. The successful candidate will report directly to the Partner/Technical Director and play a key role in delivering regulatory-compliant, business-relevant credit risk models to major banking clients and the key responsibilities are summarised below:- Lead the design, enhancement, and maintenance of retail credit risk models (PD, LGD, and EAD) under IFRS 9 and IRB. Manage and mentor a team of Senior Consultants to deliver high-quality, robust, and compliant modelling solutions. Ensure all models meet PRA, EBA, and Basel 3.1 regulatory standards. Conduct and review statistical analysis, calibration, back-testing, and monitoring to ensure model accuracy and performance. Provide technical expertise in Python, SAS, and SQL for model development and validation. Engage confidently with regulators, validation teams, and senior stakeholders, communicating complex results clearly. Promote innovation by integrating machine learning and advanced analytics into modelling approaches. Oversee project timelines, resources, and deliverables to meet internal and client expectations. Contribute to training, mentoring, and capability development across the modelling team. Maintain full documentation and governance across all model risk management activities. Our client would be particularly interested in candidates with an MSc or PhD in a quantitative field (e.g. Mathematics, Statistics, Economics, or Finance) who has developed & validated retail credit risk models under IFRS 9 and/or IRB ideally within a banking or consultancy environment, You should also have a solid grasp of statistical techniques such as logistic regression, survival analysis, and machine learning as well as excellent stakeholder management and communication skills. Experience of managing or mentoring analysts or consultants in a modelling environment would also be an advantage as well as 1st class project management and organisational abilities. This is an excellent opportunity to take on a leadership role within a high-performing consultancy known for technical excellence and strong regulatory relationships. The role offers career progression, diverse project exposure, and flexible working options. Interested? Then please forward your CV NOW for further details and consultation.
Business Intelligence Analyst Job Profile Business intelligence analysts are responsible for collating and analysing data to identify patterns and predict future trends, which inform short-term and long-term business decisions. As a business intelligence analyst or business analyst, your duties entail developing methodologies to analyse data, complex data modelling, and reporting to senior management. Your technical ability and sense of business acumen will create valuable insights, which will become the driving forces behind every aspect of the business or organisation - from streamlining services to initiatives to boost sales. Responsibilities As a business intelligence analyst, you will typically be responsible for: Reviewing and improving data collation processes. Assessing the validity and accuracy of data collected. Meeting with external and internal stakeholders to find aspects of the business that could benefit from intelligence analysis. Keeping up to date on laws and policies concerning data collection and processing. Utilising data processing software and researching new software packages. Finding data anomalies and issues with data collection strategies which contribute to the collection of unreliable data. Identifying ways to streamline processes and increase efficiency. Identifying trends in buying patterns, product performance and customer behaviour. Liaising with IT departments regarding data storage systems. The starting salary of a junior business intelligence analyst is £32,419 per year. The average salary of a business intelligence analyst is £46,446 per year. The earning potential of a senior business intelligence analyst is £61,078 per year. Working Hours Business intelligence analysts typically work 37.5 hours per week, from 9 am to 5 pm; however, overtime is occasionally required. Due to the demanding nature of the profession, a certain degree of flexibility is required, and part-time roles aren't commonly available. What to Expect Business intelligence analysts undertake a dynamic set of duties, largely revolving around working with vast volumes of data and extrapolating valuable information. The role can be stressful and challenging. However, it is a rewarding role for the right candidates who feel comfortable handling quantitative data; many business analysts report positively on their work-life balance. You may need to travel between local, regional, and international sites within the organisation. The demand for business intelligence analysts is growing in the UK; over the next decade, it has been forecasted that there will be 284,100 new roles. Competition for analyst roles is high, and they don't typically tend to be entry-level positions. Qualifications Most business intelligence analysts hold a bachelor's degree or higher in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. Ideally, your educational background, in addition to your work experience and sense of business acumen, should prove proficiency in programming and advanced database interrogation. Skills As a business intelligence analyst, you will need: To be proficient in analysing large sets of data to extract meaningful insights. Technical expertise and proficiency in popular database systems, such as Oracle and SQL. Advanced Excel skills, including an ability to use complex formulas. Familiarity with programming languages, business intelligence tools, and data modelling techniques. Confidence in your problem-solving skills. Creative and critical thinking skills to enable you to approach issues with a questioning and logical mind. Strong written and verbal communication skills which allow you to convey complex insights and liaise with stakeholders who may not have a strong technical background. The ability to understand business processes, objectives, and strategies. Time management and resource allocation skills which allow you to effectively manage projects and deadlines. An understanding of data protection laws - especially when handling sensitive information. A willingness to keep up with the latest trends in data analytics and business intelligence technologies. To be comfortable with collaboration and teamwork. The ability to handle sensitive data responsibly and ethically. Work Experience To create a solid foundation for a career in business intelligence, candidates will typically need work experience which hones their data analysis skills, technical proficiency, and business understanding. The common roles used as stepping stones into the industry include data analyst, junior business analyst, database administrator, database developer, market research analyst, IT support analyst, financial analyst, statistical analyst, operations analyst, and reporting analyst roles. As with many technical roles, the career prospects for business intelligence analysts are incredibly promising. There is no shortage of pathways for specialisation and advancement once experience has been gained and skills have been demonstrated. Areas in which BI analysts can specialise include marketing analytics, healthcare analytics, and financial analytics. In addition to progressing into senior, manager, lead and strategic roles, BI analysts can consider careers in data science, business intelligence consultancy, or becoming a business intelligence architect, director of analytics, product manager, or chief data officer. These career paths reflect the increasing importance of data-driven decision-making in business and the diverse opportunities available for people skilled in business intelligence and analytics. Employers Business Intelligence Analysts are employed across a wide range of sectors. Some of the main employers include: Healthcare, including the NHS and private healthcare providers. Financial services, such as insurance companies, investment firms and banks. Telecommunication and technology companies. Government and the public sector. E-commerce companies and large retail brands. Logistical and manufacturing companies. Research and education institutions. Utility companies.
Feb 02, 2026
Full time
Business Intelligence Analyst Job Profile Business intelligence analysts are responsible for collating and analysing data to identify patterns and predict future trends, which inform short-term and long-term business decisions. As a business intelligence analyst or business analyst, your duties entail developing methodologies to analyse data, complex data modelling, and reporting to senior management. Your technical ability and sense of business acumen will create valuable insights, which will become the driving forces behind every aspect of the business or organisation - from streamlining services to initiatives to boost sales. Responsibilities As a business intelligence analyst, you will typically be responsible for: Reviewing and improving data collation processes. Assessing the validity and accuracy of data collected. Meeting with external and internal stakeholders to find aspects of the business that could benefit from intelligence analysis. Keeping up to date on laws and policies concerning data collection and processing. Utilising data processing software and researching new software packages. Finding data anomalies and issues with data collection strategies which contribute to the collection of unreliable data. Identifying ways to streamline processes and increase efficiency. Identifying trends in buying patterns, product performance and customer behaviour. Liaising with IT departments regarding data storage systems. The starting salary of a junior business intelligence analyst is £32,419 per year. The average salary of a business intelligence analyst is £46,446 per year. The earning potential of a senior business intelligence analyst is £61,078 per year. Working Hours Business intelligence analysts typically work 37.5 hours per week, from 9 am to 5 pm; however, overtime is occasionally required. Due to the demanding nature of the profession, a certain degree of flexibility is required, and part-time roles aren't commonly available. What to Expect Business intelligence analysts undertake a dynamic set of duties, largely revolving around working with vast volumes of data and extrapolating valuable information. The role can be stressful and challenging. However, it is a rewarding role for the right candidates who feel comfortable handling quantitative data; many business analysts report positively on their work-life balance. You may need to travel between local, regional, and international sites within the organisation. The demand for business intelligence analysts is growing in the UK; over the next decade, it has been forecasted that there will be 284,100 new roles. Competition for analyst roles is high, and they don't typically tend to be entry-level positions. Qualifications Most business intelligence analysts hold a bachelor's degree or higher in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. Ideally, your educational background, in addition to your work experience and sense of business acumen, should prove proficiency in programming and advanced database interrogation. Skills As a business intelligence analyst, you will need: To be proficient in analysing large sets of data to extract meaningful insights. Technical expertise and proficiency in popular database systems, such as Oracle and SQL. Advanced Excel skills, including an ability to use complex formulas. Familiarity with programming languages, business intelligence tools, and data modelling techniques. Confidence in your problem-solving skills. Creative and critical thinking skills to enable you to approach issues with a questioning and logical mind. Strong written and verbal communication skills which allow you to convey complex insights and liaise with stakeholders who may not have a strong technical background. The ability to understand business processes, objectives, and strategies. Time management and resource allocation skills which allow you to effectively manage projects and deadlines. An understanding of data protection laws - especially when handling sensitive information. A willingness to keep up with the latest trends in data analytics and business intelligence technologies. To be comfortable with collaboration and teamwork. The ability to handle sensitive data responsibly and ethically. Work Experience To create a solid foundation for a career in business intelligence, candidates will typically need work experience which hones their data analysis skills, technical proficiency, and business understanding. The common roles used as stepping stones into the industry include data analyst, junior business analyst, database administrator, database developer, market research analyst, IT support analyst, financial analyst, statistical analyst, operations analyst, and reporting analyst roles. As with many technical roles, the career prospects for business intelligence analysts are incredibly promising. There is no shortage of pathways for specialisation and advancement once experience has been gained and skills have been demonstrated. Areas in which BI analysts can specialise include marketing analytics, healthcare analytics, and financial analytics. In addition to progressing into senior, manager, lead and strategic roles, BI analysts can consider careers in data science, business intelligence consultancy, or becoming a business intelligence architect, director of analytics, product manager, or chief data officer. These career paths reflect the increasing importance of data-driven decision-making in business and the diverse opportunities available for people skilled in business intelligence and analytics. Employers Business Intelligence Analysts are employed across a wide range of sectors. Some of the main employers include: Healthcare, including the NHS and private healthcare providers. Financial services, such as insurance companies, investment firms and banks. Telecommunication and technology companies. Government and the public sector. E-commerce companies and large retail brands. Logistical and manufacturing companies. Research and education institutions. Utility companies.
Our client are looking for a Senior Manager to own and evolve their NetSuite ERP platform and the integration landscape that connects NetSuite to the wider business. You will lead day-to-day platform performance, drive roadmap delivery, and ensure our integrations are stable, secure and scalable. This is a hands-on leadership role combining technical depth with strong stakeholder management and a clear focus on business outcomes. Hybrid role - Requirement to be onsite at Worcester offices Main Tasks & Responsibilities NetSuite Platform Ownership Own the NetSuite ERP roadmap, balancing operational priorities with strategic improvements Partner with Finance, Operations, Supply Chain, E-Commerce and Data teams to translate business needs into well-defined requirements Lead NetSuite configuration and continuous improvement across core modules (e.g. Financials, Order to Cash, Procure to Pay, Inventory and Reporting) Maintain system governance including role-based access, segregation of duties, and change control Manage release planning, regression testing, and deployment processes, including co-ordination with external partners where needed. Integrations & Systems Architecture Own the integration strategy and end-to-end health of interfaces between NetSuite and other systems (e.g. E-Commerce, WMS/3PL, PIM, CRM, payments, BI/warehouse) Ensure integrations are well-designed, monitored, documented and supported with clear incident and escalation paths Lead root-cause analysis and resolution for integration incidents, driving permanent fixes and preventative controls Define and maintain integration standards (APIs, middleware, data contracts, error handling, retries, logging, alerting) 3rd Party developer management patchworks and external developers Data Quality, Controls & Compliance Ensure master data integrity (customers, products, pricing, suppliers) and establish strong data governance practices. Work closely with Finance and Audit to support controls, compliance, and evidence needs (including audit trails and approval workflows). Establish KPIs and reporting for platform performance, incidents, backlog, and delivery outcomes. Leadership & Delivery Lead, coach and develop a small team of NetSuite administrators, analysts, and integration resources (directly and/or through partners). Run delivery rituals (intake, prioritisation, planning, sprint or milestone tracking) with transparent status reporting. Manage vendor relationships, budgets, and statements of work to ensure value, quality, and timely delivery. Communicate clearly with senior stakeholders, presenting options, trade-offs, and recommendations. Support sustainability initiatives by considering how our practices can improve, actively working in line with the sustainability journey of the business. About You Significant experience managing NetSuite ERP in a complex environment, including configuration, optimisation, and support. Strong integration experience: API-based integrations, middleware/iPaaS, data flows, error handling, and monitoring. Proven track record delivering cross-functional ERP or integration programmes with measurable outcomes. Solid understanding of finance processes and controls, and how ERP design supports them. Excellent stakeholder management: able to align Finance, Operations, and Technology priorities and drive decisions. Strong problem-solving skills and calm operational leadership during incidents. Committed to promoting conscious creativity, helping us build a brand that champions sustainability and supports our social and environmental impact NetSuite SuiteFoundation and/or role-specific certifications would be desirable but is not essential. Experience with SuiteScript, SuiteFlow, saved searches, workflows, and advanced reporting would be advantageous. Experience with common iPaaS tools (e.g., Celigo, Boomi, MuleSoft, Workato) and event-driven patterns would be desirable but is not essential. Exposure to retail, eCommerce, distribution, or multi-entity/multi-currency environments would be advantageous.
Feb 01, 2026
Full time
Our client are looking for a Senior Manager to own and evolve their NetSuite ERP platform and the integration landscape that connects NetSuite to the wider business. You will lead day-to-day platform performance, drive roadmap delivery, and ensure our integrations are stable, secure and scalable. This is a hands-on leadership role combining technical depth with strong stakeholder management and a clear focus on business outcomes. Hybrid role - Requirement to be onsite at Worcester offices Main Tasks & Responsibilities NetSuite Platform Ownership Own the NetSuite ERP roadmap, balancing operational priorities with strategic improvements Partner with Finance, Operations, Supply Chain, E-Commerce and Data teams to translate business needs into well-defined requirements Lead NetSuite configuration and continuous improvement across core modules (e.g. Financials, Order to Cash, Procure to Pay, Inventory and Reporting) Maintain system governance including role-based access, segregation of duties, and change control Manage release planning, regression testing, and deployment processes, including co-ordination with external partners where needed. Integrations & Systems Architecture Own the integration strategy and end-to-end health of interfaces between NetSuite and other systems (e.g. E-Commerce, WMS/3PL, PIM, CRM, payments, BI/warehouse) Ensure integrations are well-designed, monitored, documented and supported with clear incident and escalation paths Lead root-cause analysis and resolution for integration incidents, driving permanent fixes and preventative controls Define and maintain integration standards (APIs, middleware, data contracts, error handling, retries, logging, alerting) 3rd Party developer management patchworks and external developers Data Quality, Controls & Compliance Ensure master data integrity (customers, products, pricing, suppliers) and establish strong data governance practices. Work closely with Finance and Audit to support controls, compliance, and evidence needs (including audit trails and approval workflows). Establish KPIs and reporting for platform performance, incidents, backlog, and delivery outcomes. Leadership & Delivery Lead, coach and develop a small team of NetSuite administrators, analysts, and integration resources (directly and/or through partners). Run delivery rituals (intake, prioritisation, planning, sprint or milestone tracking) with transparent status reporting. Manage vendor relationships, budgets, and statements of work to ensure value, quality, and timely delivery. Communicate clearly with senior stakeholders, presenting options, trade-offs, and recommendations. Support sustainability initiatives by considering how our practices can improve, actively working in line with the sustainability journey of the business. About You Significant experience managing NetSuite ERP in a complex environment, including configuration, optimisation, and support. Strong integration experience: API-based integrations, middleware/iPaaS, data flows, error handling, and monitoring. Proven track record delivering cross-functional ERP or integration programmes with measurable outcomes. Solid understanding of finance processes and controls, and how ERP design supports them. Excellent stakeholder management: able to align Finance, Operations, and Technology priorities and drive decisions. Strong problem-solving skills and calm operational leadership during incidents. Committed to promoting conscious creativity, helping us build a brand that champions sustainability and supports our social and environmental impact NetSuite SuiteFoundation and/or role-specific certifications would be desirable but is not essential. Experience with SuiteScript, SuiteFlow, saved searches, workflows, and advanced reporting would be advantageous. Experience with common iPaaS tools (e.g., Celigo, Boomi, MuleSoft, Workato) and event-driven patterns would be desirable but is not essential. Exposure to retail, eCommerce, distribution, or multi-entity/multi-currency environments would be advantageous.
Are you currently working in a forecasting, analyst, or retail e-commerce planning role? Do you enjoy using data, trends, and insight to shape commercial decisions across a global retail business? Our client is a fast-growing, global retailer seeking an experienced Forecast Merchandiser to join their merchandising team. This is a key role working closely with the Head of Merchandising and cross-functional teams to strategically drive stock and sales performance across all trading markets and channels. The ideal candidate will have a strong forecasting background, thrive in a fast-paced e-commerce environment, and enjoy influencing business decisions through data-driven insight. Key Responsibilities: Create demand forecasts by category, season, and channel using historical data, market insight, and seasonal trends. Collaborate with Buying, Design, and Purchasing teams to align forecasts with merchandising strategies. Monitor stock levels and recommend adjustments to improve availability and reduce risk. Partner with other departments to incorporate promotions, launches, and events into forecasts. Track and report forecast accuracy, providing actionable insight to the Head of Merchandising and Directors. Identify risks and opportunities in demand planning and recommend mitigation strategies. Lead allocation planning and product selection to optimise performance across all sales channels. Attend logistics meetings and manage inbound inventory bottlenecks. Use AI tools, advanced Excel, and Power BI to model scenarios and optimise inventory. Review high stock levels and propose promotional and pricing strategies to clear excess stock. Present performance vs forecast to the wider business with recommendations for future planning. Support the development of merchandising systems, reports, and dashboards. Develop contingency plans for demand volatility, supply chain disruption, and market change. Contribute to sustainability by reducing markdowns, overproduction, and stock wastage. Mentor and support junior members of the merchandising team where required. Key Skills & Experience: Proven experience in forecasting and trend analysis within a fast-paced global retail environment. Strong commercial mindset with the ability to drive department performance. Confident presenting KPIs to teams and senior management. Advanced Excel skills and experience with retail systems (Oracle and/or NetSuite desirable). Experience using Power BI, AI tools, or scenario modelling. Strong awareness of market trends and trading conditions. Experience within an e-commerce business. Ability to anticipate and manage supply chain risk and demand fluctuation. Collaborative working style with strong stakeholder relationship skills. Comfortable working in a fast-paced, rapidly changing environment. Additional Information: Full-time, Monday Friday Hybrid working: 3 days office-based / 2 days WFH 33 days holiday (inclusive of bank holidays) Pension scheme Employee discount Career development and progression opportunities To express interest in this promising role, kindly forward your latest CV, detailing your present or most recent remuneration package and any notice period you might have. For a discreet, detailed discussion about the role, you can reach out to Shanelle Bowyer at (phone number removed). Alternatively, connect with me on LinkedIn via the following link: (url removed)/
Feb 01, 2026
Full time
Are you currently working in a forecasting, analyst, or retail e-commerce planning role? Do you enjoy using data, trends, and insight to shape commercial decisions across a global retail business? Our client is a fast-growing, global retailer seeking an experienced Forecast Merchandiser to join their merchandising team. This is a key role working closely with the Head of Merchandising and cross-functional teams to strategically drive stock and sales performance across all trading markets and channels. The ideal candidate will have a strong forecasting background, thrive in a fast-paced e-commerce environment, and enjoy influencing business decisions through data-driven insight. Key Responsibilities: Create demand forecasts by category, season, and channel using historical data, market insight, and seasonal trends. Collaborate with Buying, Design, and Purchasing teams to align forecasts with merchandising strategies. Monitor stock levels and recommend adjustments to improve availability and reduce risk. Partner with other departments to incorporate promotions, launches, and events into forecasts. Track and report forecast accuracy, providing actionable insight to the Head of Merchandising and Directors. Identify risks and opportunities in demand planning and recommend mitigation strategies. Lead allocation planning and product selection to optimise performance across all sales channels. Attend logistics meetings and manage inbound inventory bottlenecks. Use AI tools, advanced Excel, and Power BI to model scenarios and optimise inventory. Review high stock levels and propose promotional and pricing strategies to clear excess stock. Present performance vs forecast to the wider business with recommendations for future planning. Support the development of merchandising systems, reports, and dashboards. Develop contingency plans for demand volatility, supply chain disruption, and market change. Contribute to sustainability by reducing markdowns, overproduction, and stock wastage. Mentor and support junior members of the merchandising team where required. Key Skills & Experience: Proven experience in forecasting and trend analysis within a fast-paced global retail environment. Strong commercial mindset with the ability to drive department performance. Confident presenting KPIs to teams and senior management. Advanced Excel skills and experience with retail systems (Oracle and/or NetSuite desirable). Experience using Power BI, AI tools, or scenario modelling. Strong awareness of market trends and trading conditions. Experience within an e-commerce business. Ability to anticipate and manage supply chain risk and demand fluctuation. Collaborative working style with strong stakeholder relationship skills. Comfortable working in a fast-paced, rapidly changing environment. Additional Information: Full-time, Monday Friday Hybrid working: 3 days office-based / 2 days WFH 33 days holiday (inclusive of bank holidays) Pension scheme Employee discount Career development and progression opportunities To express interest in this promising role, kindly forward your latest CV, detailing your present or most recent remuneration package and any notice period you might have. For a discreet, detailed discussion about the role, you can reach out to Shanelle Bowyer at (phone number removed). Alternatively, connect with me on LinkedIn via the following link: (url removed)/
TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you're working in our four global Home Offices, Distribution Centers or Retail Stores-TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you'll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family-a Fortune 100 company and the world's leading off-price retailer. Job Description: We're looking for a Senior Product Analyst to join our agile HR Talent and Performance team and play a key role in shaping impactful solutions across Human Capital Management. This role is essential in supporting Talent & Performance features in both Workday and SAP SuccessFactors during a multi-phase transition to Workday. In this role, you will have the opportunity to work hands-on with Workday, lead stakeholder engagement sessions, and mentor junior analysts-all while acting as a trusted SME to support strategic planning. You'll drive the refinement and testing of user stories with autonomy and help ensure our solutions meet TJX's high standards. If you're passionate about HR technology and want to influence meaningful change in a collaborative, fast-paced environment, this is the role for you. Why Work With Us? We value integrity, respect, and teamwork, encouraging a unique and inclusive culture. Enjoy Associate discounts at our stores, available to you and eligible family members. Immediate access to our Group Benefits package, including a Health Care Spending Account, Retirement Savings Program, Associate & Family Assistance Program, and various well-being resources A competitive vacation package, paired with a Vacation Trade Program that allows you to opt in for an extra week. Comprehensive training and development resources designed to help you learn, grow, and succeed. Exciting career paths with growth opportunities and tuition reimbursement to support your career progression. What You'll Do: Contributes to project team backlog refinement, including user story point estimation and testing considerations Lead discovery and refinement of Workday features and functionality for Talent & Performance. Analyzes complex business processes, and defines integrated business and solution requirements using industry standard methodologies and techniques Coordinates functional and non-functional testing to support solution validation Support current Talent & Performance processes in SAP SuccessFactors during the transition period. About You: Bachelor's Degree or equivalent IT Delivery skillset/training/experience 3+ years' experience working on a large, global platform of Workday HCMwith Talent and Performance focus Strong hands-on experience with Workday configuration, including business processes, calculated fields, condition rules, and EIBs. Experience with Workday reporting and analytics. Familiarity with SAP SuccessFactors, especially in Talent & Performance modules, is a plus. Excellent problem-solving skills and the ability to think independently Strong listening and communication skills (written, verbal) Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long-term disability; paid holidays/vacation /sick/bereavement/parental leave; EAP; incentive programs for management; auto/home insurance discounts; tuition reimbursement; scholarship program; adoption/surrogacy assistance; smoking cessation; child care/cell phone discounts; pet/legal insurance; credit union; referral bonuses. All benefits are subject to applicable plan or program terms (including eligibility terms) and may change from time to time. Contact your TJX representative for more information. In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: 300 Value Way Location: USA Home Office Marlborough MA 300 Value Way This position has a starting salary range of $91,200.00 to $(phone number removed) per year. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This position is eligible for an annual incentive.
Jan 31, 2026
Full time
TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you're working in our four global Home Offices, Distribution Centers or Retail Stores-TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you'll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family-a Fortune 100 company and the world's leading off-price retailer. Job Description: We're looking for a Senior Product Analyst to join our agile HR Talent and Performance team and play a key role in shaping impactful solutions across Human Capital Management. This role is essential in supporting Talent & Performance features in both Workday and SAP SuccessFactors during a multi-phase transition to Workday. In this role, you will have the opportunity to work hands-on with Workday, lead stakeholder engagement sessions, and mentor junior analysts-all while acting as a trusted SME to support strategic planning. You'll drive the refinement and testing of user stories with autonomy and help ensure our solutions meet TJX's high standards. If you're passionate about HR technology and want to influence meaningful change in a collaborative, fast-paced environment, this is the role for you. Why Work With Us? We value integrity, respect, and teamwork, encouraging a unique and inclusive culture. Enjoy Associate discounts at our stores, available to you and eligible family members. Immediate access to our Group Benefits package, including a Health Care Spending Account, Retirement Savings Program, Associate & Family Assistance Program, and various well-being resources A competitive vacation package, paired with a Vacation Trade Program that allows you to opt in for an extra week. Comprehensive training and development resources designed to help you learn, grow, and succeed. Exciting career paths with growth opportunities and tuition reimbursement to support your career progression. What You'll Do: Contributes to project team backlog refinement, including user story point estimation and testing considerations Lead discovery and refinement of Workday features and functionality for Talent & Performance. Analyzes complex business processes, and defines integrated business and solution requirements using industry standard methodologies and techniques Coordinates functional and non-functional testing to support solution validation Support current Talent & Performance processes in SAP SuccessFactors during the transition period. About You: Bachelor's Degree or equivalent IT Delivery skillset/training/experience 3+ years' experience working on a large, global platform of Workday HCMwith Talent and Performance focus Strong hands-on experience with Workday configuration, including business processes, calculated fields, condition rules, and EIBs. Experience with Workday reporting and analytics. Familiarity with SAP SuccessFactors, especially in Talent & Performance modules, is a plus. Excellent problem-solving skills and the ability to think independently Strong listening and communication skills (written, verbal) Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long-term disability; paid holidays/vacation /sick/bereavement/parental leave; EAP; incentive programs for management; auto/home insurance discounts; tuition reimbursement; scholarship program; adoption/surrogacy assistance; smoking cessation; child care/cell phone discounts; pet/legal insurance; credit union; referral bonuses. All benefits are subject to applicable plan or program terms (including eligibility terms) and may change from time to time. Contact your TJX representative for more information. In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: 300 Value Way Location: USA Home Office Marlborough MA 300 Value Way This position has a starting salary range of $91,200.00 to $(phone number removed) per year. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This position is eligible for an annual incentive.
We're supporting a growing, international business with the hire of a commercially minded FP&A / Finance Business Partner . This role is a 6 month FTC and requires an immediate start. This role sits close to senior operational leaders, providing clear insight, analysis and challenge across a range of cost centres and commercial activities. You'll play a key role in budgeting, forecasting and performance reporting, with real visibility at leadership level. You'll be hands-on with modern FP&A and reporting tools, help shape monthly management and C-suite reporting, and deliver insight that genuinely influences decision-making and EBITDA performance. What we're looking for Qualified accountant (ACA / ACCA / CIMA) Strong stakeholder management skills and commercial mindset Experience in FP&A, finance business partnering or a similar analytical role Confident working with ERP and reporting tools (ERP, FP&A platforms, advanced Excel, SQL/BI tools) Exposure to international environments and IFRS is a plus Retail or consumer experience beneficial, not essential Additional Info From 45,000 6 month FTC Hybrid working - 3 office 2 home
Jan 31, 2026
Contractor
We're supporting a growing, international business with the hire of a commercially minded FP&A / Finance Business Partner . This role is a 6 month FTC and requires an immediate start. This role sits close to senior operational leaders, providing clear insight, analysis and challenge across a range of cost centres and commercial activities. You'll play a key role in budgeting, forecasting and performance reporting, with real visibility at leadership level. You'll be hands-on with modern FP&A and reporting tools, help shape monthly management and C-suite reporting, and deliver insight that genuinely influences decision-making and EBITDA performance. What we're looking for Qualified accountant (ACA / ACCA / CIMA) Strong stakeholder management skills and commercial mindset Experience in FP&A, finance business partnering or a similar analytical role Confident working with ERP and reporting tools (ERP, FP&A platforms, advanced Excel, SQL/BI tools) Exposure to international environments and IFRS is a plus Retail or consumer experience beneficial, not essential Additional Info From 45,000 6 month FTC Hybrid working - 3 office 2 home
Demand Planning Manager SF Recruitment are working with a leading B2B distributor to recruit a Demand Planning Manager; To own forecasting, replenishment, and inventory planning across a multi-category, fast-moving business. This role plays a key part in enabling growth by ensuring the right products are available at the right time - without over-stocking. Responsibilities: Lead short-, mid-, and long-term demand forecasting at SKU and category level Build and maintain rolling 18-month forecasts and 3-year category plans Translate demand plans into purchase and production requirements Own Open-to-Buy, inventory health, and stock optimisation across channels Identify risks, gaps, and opportunities in forecasts and recommend actions Drive continuous improvement in forecasting accuracy and planning processes Support range reviews, product lifecycle decisions, and in-season adjustments Maintain and optimise ERP replenishment parameters in line with demand shifts Act as the planning link between Sales, Category, Operations, Finance, and Marketing Incorporate promotions, launches, and seasonal activity into demand plans Present insights and recommendations to senior stakeholders Lead and develop a team of demand planners or analysts What success look like: High forecast accuracy and strong availability performance Inventory held within plan with healthy stock turn Clear, actionable demand insight supporting commercial decisions What we're looking for: Strong demand or supply planning background, ideally in consumer goods, FMCG, or seasonal product environments Advanced Excel, Power BI, and forecasting tool experience ERP planning experience (Dynamics 365 / Navision or similar) Confident communicator who can influence cross-functional teams Strategic thinker who's comfortable rolling up their sleeves Experience leading or mentoring planning teams.
Jan 31, 2026
Full time
Demand Planning Manager SF Recruitment are working with a leading B2B distributor to recruit a Demand Planning Manager; To own forecasting, replenishment, and inventory planning across a multi-category, fast-moving business. This role plays a key part in enabling growth by ensuring the right products are available at the right time - without over-stocking. Responsibilities: Lead short-, mid-, and long-term demand forecasting at SKU and category level Build and maintain rolling 18-month forecasts and 3-year category plans Translate demand plans into purchase and production requirements Own Open-to-Buy, inventory health, and stock optimisation across channels Identify risks, gaps, and opportunities in forecasts and recommend actions Drive continuous improvement in forecasting accuracy and planning processes Support range reviews, product lifecycle decisions, and in-season adjustments Maintain and optimise ERP replenishment parameters in line with demand shifts Act as the planning link between Sales, Category, Operations, Finance, and Marketing Incorporate promotions, launches, and seasonal activity into demand plans Present insights and recommendations to senior stakeholders Lead and develop a team of demand planners or analysts What success look like: High forecast accuracy and strong availability performance Inventory held within plan with healthy stock turn Clear, actionable demand insight supporting commercial decisions What we're looking for: Strong demand or supply planning background, ideally in consumer goods, FMCG, or seasonal product environments Advanced Excel, Power BI, and forecasting tool experience ERP planning experience (Dynamics 365 / Navision or similar) Confident communicator who can influence cross-functional teams Strategic thinker who's comfortable rolling up their sleeves Experience leading or mentoring planning teams.
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Oct 07, 2025
Full time
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Oct 06, 2025
Full time
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Oct 05, 2025
Full time
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Are you looking for a stretching and exciting role working with the sponsor and spending team of one of the largest savings organisations in the UK? If so, we'd love to hear from you ! About the Team The Debt & Reserves Management (DRM) team manages key financial assets and liabilities on the public sector balance sheet - using analysis, oversight and our stakeholder links to Bank of England, the Debt Management Office, National Savings & Investments and the Royal Mint. This role is part of the Retail Debt and Cash Issuance (RDCI) branch in DRM, a friendly, supportive and dynamic team leading on a wide ranging and high-profile set of policy issues, with significant engagement from ministers and Special Advisers. The branch is responsible for developing strategy and legislation related to banknote and coins; working closely with the Bank of England and the Royal Mint; sponsorship, policy and spending for National Savings and Investments (NS&I). About the Job As NS&I's sponsor and spending team, DRM supports NS&I in developing the strategic, operational, and financial framework it operates under. This covers a range of areas such as supporting NS&I in developing its strategy to raise finance, advising Ministers on NS&I's strategic framework, and ensuring NS&I is adequately funded to deliver its objectives, including delivery of its major transformation programme. Delivery of this programme makes up a significant portion of NS&I's spending review settlement, and scrutinising programme-related spending will be a key area of focus for the post-holder. DRM is also responsible for advising Ministers on any wider policy or operational measures that impact NS&I's performance and debt-raising role. In this role, you will: Support NS&I through spending processes, such as Main and Supplementary Estimates. This will involve independently liaising with stakeholders in NS&I's Finance team and across HM Treasury to ensure delivery is smooth and in line with government priorities. Oversee spending on NS&I's Transformation Programme to ensure compliance with HM Treasury spend controls and the SR25 settlement. This includes keeping track of NS&I's in-year financial position and advising seniors and ministers on any emerging risks, such as underspends. There will be scope to consider innovative approaches to managing any risks and increasing the effectiveness of spending controls. Scrutinise in-year expenditure of NS&I's capital and resource budgets. This includes evaluating business cases and spending proposals to put forward recommendations based on a deep understanding of NS&I's financial position. This will require close collaboration with seniors in NS&I and teams across HM Treasury to evaluate the impact of spending decisions and balance HMT and NS&I's priorities, challenging expenditure where necessary. Lead policy development relating to NS&I's short and long-term strategy. The post-holder will advise the EST on NS&I's annual service delivery metrics to ensure they are sufficiently stretching and balance outcomes for the consumer, taxpayer and customer. The post holder will also need to work closely with NS&I's Strategy Directorate to influence the development of NS&I's medium and long-term strategy to ensure alignment with government and organisational priorities and advise EST on approving this strategy ahead of March 2026. Lead appointments to NS&I's Board and the relationship with NS&I's People Directorate. This involves advising EST and seniors on all matters relating to NS&I's workforce and people strategy, such as annual pay remit increases. The post holder will also need to work closely with seniors across NS&I and HMT to lead and advise ministers on recruitment campaigns to appoint additional non-executive directors to NS&I's board. About You You will be able to evaluate different and sometimes competing evidence sources to come to a conclusion and advise senior partners. Collaborate effectively with a range of stakeholders, including other organisations and prioritise and progress varied pieces of work in a timely and effective way. Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month Flexible working patterns (part-time, job-share, condensed hours) Generous parental and adoption leave packages Access to a generous Defined Benefit pension scheme with employer contributions of 28.97% Access to a cycle-to-work salary sacrifice scheme and season ticket advances A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .
Oct 04, 2025
Full time
Are you looking for a stretching and exciting role working with the sponsor and spending team of one of the largest savings organisations in the UK? If so, we'd love to hear from you ! About the Team The Debt & Reserves Management (DRM) team manages key financial assets and liabilities on the public sector balance sheet - using analysis, oversight and our stakeholder links to Bank of England, the Debt Management Office, National Savings & Investments and the Royal Mint. This role is part of the Retail Debt and Cash Issuance (RDCI) branch in DRM, a friendly, supportive and dynamic team leading on a wide ranging and high-profile set of policy issues, with significant engagement from ministers and Special Advisers. The branch is responsible for developing strategy and legislation related to banknote and coins; working closely with the Bank of England and the Royal Mint; sponsorship, policy and spending for National Savings and Investments (NS&I). About the Job As NS&I's sponsor and spending team, DRM supports NS&I in developing the strategic, operational, and financial framework it operates under. This covers a range of areas such as supporting NS&I in developing its strategy to raise finance, advising Ministers on NS&I's strategic framework, and ensuring NS&I is adequately funded to deliver its objectives, including delivery of its major transformation programme. Delivery of this programme makes up a significant portion of NS&I's spending review settlement, and scrutinising programme-related spending will be a key area of focus for the post-holder. DRM is also responsible for advising Ministers on any wider policy or operational measures that impact NS&I's performance and debt-raising role. In this role, you will: Support NS&I through spending processes, such as Main and Supplementary Estimates. This will involve independently liaising with stakeholders in NS&I's Finance team and across HM Treasury to ensure delivery is smooth and in line with government priorities. Oversee spending on NS&I's Transformation Programme to ensure compliance with HM Treasury spend controls and the SR25 settlement. This includes keeping track of NS&I's in-year financial position and advising seniors and ministers on any emerging risks, such as underspends. There will be scope to consider innovative approaches to managing any risks and increasing the effectiveness of spending controls. Scrutinise in-year expenditure of NS&I's capital and resource budgets. This includes evaluating business cases and spending proposals to put forward recommendations based on a deep understanding of NS&I's financial position. This will require close collaboration with seniors in NS&I and teams across HM Treasury to evaluate the impact of spending decisions and balance HMT and NS&I's priorities, challenging expenditure where necessary. Lead policy development relating to NS&I's short and long-term strategy. The post-holder will advise the EST on NS&I's annual service delivery metrics to ensure they are sufficiently stretching and balance outcomes for the consumer, taxpayer and customer. The post holder will also need to work closely with NS&I's Strategy Directorate to influence the development of NS&I's medium and long-term strategy to ensure alignment with government and organisational priorities and advise EST on approving this strategy ahead of March 2026. Lead appointments to NS&I's Board and the relationship with NS&I's People Directorate. This involves advising EST and seniors on all matters relating to NS&I's workforce and people strategy, such as annual pay remit increases. The post holder will also need to work closely with seniors across NS&I and HMT to lead and advise ministers on recruitment campaigns to appoint additional non-executive directors to NS&I's board. About You You will be able to evaluate different and sometimes competing evidence sources to come to a conclusion and advise senior partners. Collaborate effectively with a range of stakeholders, including other organisations and prioritise and progress varied pieces of work in a timely and effective way. Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month Flexible working patterns (part-time, job-share, condensed hours) Generous parental and adoption leave packages Access to a generous Defined Benefit pension scheme with employer contributions of 28.97% Access to a cycle-to-work salary sacrifice scheme and season ticket advances A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Oct 04, 2025
Full time
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Welcome to ASK BOSCO , thanks for stopping by Let s pause for a second. Before we talk perks, equity, or growth stats, let s flip the script. This isn t about us. Not yet. This is about you: • What s driving your search right now, what s prompting you to take the next big step in your career? • Are you looking for a role where you can lead a high-performing team, shape how technology is applied, and make a direct impact on growth and customer success? • Do you want to work in a fast-paced, idea driven environment where your voice matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn t feel like the right fit, no worries. But if you feel that spark, the same one we ve got, this could be the start of something extraordinary. The Role at a Glance: VP of Engineering (Python) Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme Values & Culture: Outstanding Company to Work For 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose 10% of profits donated to 1moreChild orphanage annually Markets: Marketing & eCommerce Agencies, eCommerce retailers Your Expertise: You re a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You ve led teams through transformational growth, delivering stable, scalable SaaS products that retain and delight customers. You understand what it takes to grow a business from early-stage traction to a large-scale, enterprise-grade platform, and you re ready to lay the technical foundations for our next phase of hyper-growth. You also bring strong experience managing infrastructure partners, confidently navigating and shaping these critical relationships. This isn t a back-seat role. You ll be hands-on where it counts, partnering with the Chief Product Officer to drive delivery, scalability, and long-term success. You ll guide senior stakeholders with clear, data-driven insights, helping keep the roadmap on track in a fast-moving, idea-driven environment. What You ll Be Driving: • Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions. • Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture. • Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention. • Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security. • Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution. • Drive enterprise-grade excellence: Embed best-in-class engineering practices agile, CI/CD, DevOps, security-first design across teams. • Champion scalability: Build products and systems that can grow globally and support tens of thousands of customers. What You ll Bring: • Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company. • Solid-Strong Python development skills • Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development. • Hands-on experience delivering stable, scalable SaaS products with measurable customer impact. • Experience managing infrastructure partners and external technical relationships. • Confident and polite stakeholder management, able to challenge senior leaders while keeping delivery on track. • Track record of leading transformational growth, scaling teams and products successfully. • Excellent communication - bridging tech, product, and commercial discussions seamlessly. • Customer-first mindset - building products that retain and delight users. This is a role for someone who s been there, done it, and is ready to do it again with more ownership, autonomy, and impact than ever before in a fast-paced, high-growth environment. Inclusive Culture At ASK BOSCO , everybody is invited with open arms. We embrace diversity in all forms race, gender, age, sexual orientation, disability, and beyond. Our mission is stronger when everyone can bring their authentic selves to work. Can you see yourself building the tech engine that drives our next phase of hyper-growth? If high-impact, high-growth, and hands-on leadership excites you, let s make it happen. Apply now and let s talk. P.S. Did we have you at the four-day week? Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
Oct 03, 2025
Full time
Welcome to ASK BOSCO , thanks for stopping by Let s pause for a second. Before we talk perks, equity, or growth stats, let s flip the script. This isn t about us. Not yet. This is about you: • What s driving your search right now, what s prompting you to take the next big step in your career? • Are you looking for a role where you can lead a high-performing team, shape how technology is applied, and make a direct impact on growth and customer success? • Do you want to work in a fast-paced, idea driven environment where your voice matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn t feel like the right fit, no worries. But if you feel that spark, the same one we ve got, this could be the start of something extraordinary. The Role at a Glance: VP of Engineering (Python) Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme Values & Culture: Outstanding Company to Work For 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose 10% of profits donated to 1moreChild orphanage annually Markets: Marketing & eCommerce Agencies, eCommerce retailers Your Expertise: You re a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You ve led teams through transformational growth, delivering stable, scalable SaaS products that retain and delight customers. You understand what it takes to grow a business from early-stage traction to a large-scale, enterprise-grade platform, and you re ready to lay the technical foundations for our next phase of hyper-growth. You also bring strong experience managing infrastructure partners, confidently navigating and shaping these critical relationships. This isn t a back-seat role. You ll be hands-on where it counts, partnering with the Chief Product Officer to drive delivery, scalability, and long-term success. You ll guide senior stakeholders with clear, data-driven insights, helping keep the roadmap on track in a fast-moving, idea-driven environment. What You ll Be Driving: • Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions. • Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture. • Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention. • Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security. • Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution. • Drive enterprise-grade excellence: Embed best-in-class engineering practices agile, CI/CD, DevOps, security-first design across teams. • Champion scalability: Build products and systems that can grow globally and support tens of thousands of customers. What You ll Bring: • Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company. • Solid-Strong Python development skills • Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development. • Hands-on experience delivering stable, scalable SaaS products with measurable customer impact. • Experience managing infrastructure partners and external technical relationships. • Confident and polite stakeholder management, able to challenge senior leaders while keeping delivery on track. • Track record of leading transformational growth, scaling teams and products successfully. • Excellent communication - bridging tech, product, and commercial discussions seamlessly. • Customer-first mindset - building products that retain and delight users. This is a role for someone who s been there, done it, and is ready to do it again with more ownership, autonomy, and impact than ever before in a fast-paced, high-growth environment. Inclusive Culture At ASK BOSCO , everybody is invited with open arms. We embrace diversity in all forms race, gender, age, sexual orientation, disability, and beyond. Our mission is stronger when everyone can bring their authentic selves to work. Can you see yourself building the tech engine that drives our next phase of hyper-growth? If high-impact, high-growth, and hands-on leadership excites you, let s make it happen. Apply now and let s talk. P.S. Did we have you at the four-day week? Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Oct 03, 2025
Full time
Join a cutting-edge technology company where your advanced mathematical expertise will directly impact the future of sports analytics and data-driven decision making. Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company whose advanced data analytics platform helps businesses within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client, you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other roles where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills Benefits: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. _At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values._ Benefits: Company pension Cycle to work scheme Employee discount Life insurance Private medical insurance Work from home Work Location: In person
Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company that's advanced data analytics platform helps business within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location / WFH: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills What's in it for you: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Oct 02, 2025
Full time
Quantitative Analyst / Modeller (SQL Mathematics Statistics) London / WFH to £95k Do you have advanced mathematical / data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst / Modeller role at a growing technology company that's advanced data analytics platform helps business within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst / Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location / WFH: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to work from home the other three days and core hours of . About you: You have experience in a similar Quant focussed role within a sports betting company or other where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills What's in it for you: As a Quantitative Analyst / Modeller, you will earn a competitive package: Salary to £95k Pension; Private Healthcare; Life Assurance and Income Protection 25 days holiday plus ability to buy more Discounts at hundreds of retailers, including 55% off cinema tickets Season ticket loan, cycle to work scheme, gym discount Hybrid working (x2 days London office per week) Impactful role with excellent career growth potential Apply now to find out more about this Quantitative Analyst / Modeller (SQL Mathematics Statistics) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
