Trading Operations Assistant - 2025 Graduates (Maths / Statistics / Economics) Minimum 2:1 Degree Location: City of London, on site 5 days a week, Willingness to work flexible hours, including regular weekend shifts (approximately 50% of working time) Salary: Up to 33,000 (dependent on skills and experience) Reference: J13051 Please note: This is a trading operations role (not financial trading). The position operates on a shift pattern, including early mornings, late evenings, and approximately 50% weekend work. Please apply only if you are fully comfortable with this schedule. You must be eligible to work in the UK, the client cannot consider any visas. A long-standing and highly regarded client of ours is seeking high-calibre 2025 graduate to join their Trading Operations team. Operating within the global sports trading sector, this is an excellent opportunity for numerate graduates to work with large, complex datasets in a fast-paced, intellectually stimulating environment alongside highly skilled professionals. This role is ideal for driven, detail-oriented graduates looking to develop strong analytical, operational, and technical skills within a dynamic organisation offering excellent training and career progression. The Role As part of the Operations team, you will be responsible for monitoring and supporting global trading activity via proprietary trading platforms operating 24/7. You will play a key role in ensuring accuracy, identifying anomalies, and supporting the smooth functioning of the trading lifecycle. Confidence to challenge errors, attention to detail, and a desire to learn are essential. Key Responsibilities Monitoring and operating trading platforms on a 24/7 basis Identifying inconsistencies, errors, and unusual activity Developing insights into customer, counterparty, and market behaviour Liaising with traders, counterparties, and trading venues as required Troubleshooting issues throughout the trade lifecycle Working closely with developers and traders to enhance platform functionality Skills & Experience Required BSc degree (2:1 or above), ideally in Mathematics, Statistics, Economics. Strong numeracy skills, including an understanding of probabilities High attention to detail and a meticulous approach to work Proficiency in Microsoft Office, particularly Excel Ability to quickly learn and adapt to new systems and applications Comfortable working across multiple time zones and currencies Confident making informed operational decisions Strong organisational skills with a structured working style Excellent interpersonal skills with a mature, professional attitude SQL knowledge is advantageous but can be learned on the job
Feb 05, 2026
Full time
Trading Operations Assistant - 2025 Graduates (Maths / Statistics / Economics) Minimum 2:1 Degree Location: City of London, on site 5 days a week, Willingness to work flexible hours, including regular weekend shifts (approximately 50% of working time) Salary: Up to 33,000 (dependent on skills and experience) Reference: J13051 Please note: This is a trading operations role (not financial trading). The position operates on a shift pattern, including early mornings, late evenings, and approximately 50% weekend work. Please apply only if you are fully comfortable with this schedule. You must be eligible to work in the UK, the client cannot consider any visas. A long-standing and highly regarded client of ours is seeking high-calibre 2025 graduate to join their Trading Operations team. Operating within the global sports trading sector, this is an excellent opportunity for numerate graduates to work with large, complex datasets in a fast-paced, intellectually stimulating environment alongside highly skilled professionals. This role is ideal for driven, detail-oriented graduates looking to develop strong analytical, operational, and technical skills within a dynamic organisation offering excellent training and career progression. The Role As part of the Operations team, you will be responsible for monitoring and supporting global trading activity via proprietary trading platforms operating 24/7. You will play a key role in ensuring accuracy, identifying anomalies, and supporting the smooth functioning of the trading lifecycle. Confidence to challenge errors, attention to detail, and a desire to learn are essential. Key Responsibilities Monitoring and operating trading platforms on a 24/7 basis Identifying inconsistencies, errors, and unusual activity Developing insights into customer, counterparty, and market behaviour Liaising with traders, counterparties, and trading venues as required Troubleshooting issues throughout the trade lifecycle Working closely with developers and traders to enhance platform functionality Skills & Experience Required BSc degree (2:1 or above), ideally in Mathematics, Statistics, Economics. Strong numeracy skills, including an understanding of probabilities High attention to detail and a meticulous approach to work Proficiency in Microsoft Office, particularly Excel Ability to quickly learn and adapt to new systems and applications Comfortable working across multiple time zones and currencies Confident making informed operational decisions Strong organisational skills with a structured working style Excellent interpersonal skills with a mature, professional attitude SQL knowledge is advantageous but can be learned on the job
Director, Strategic Data Analytics (Public Sector) Office base typically London, Manchester, or Glasgow Excellent Salary depending on profile About the Consultancy We are working with a world renowned, global consultancy that partners with senior leaders to shape and deliver digital transformation. Guided by a purpose led commitment to an inclusive and sustainable future. Its multidisciplinary teams across strategy, data, AI, design, and engineering build new digital products, services, and operating models that help organisations modernise, scale, and grow responsibly. The Role Senior leadership position within an established Enterprise Data Analytics practice, focused on UK Public Sector clients. You will shape growth, build trusted senior relationships, and lead complex programmes that deliver measurable outcomes, with strong governance and responsible use of AI. Key Responsibilities Own Director level commercial performance, shaping pipeline, converting opportunities, and delivering sustainable account growth Lead account strategy and senior stakeholder engagement, becoming a trusted advisor across data, analytics, and AI agendas Sponsor major programmes, setting clear direction, strong governance, and delivery quality across multi-disciplinary teams Contribute to propositions, bids, and practice direction, supporting repeatable, scalable offerings Lead one or more areas: Operational Analytics, Data and AI Strategy, Data and AI Innovation, Data and AI Factory Build inclusive, high performing teams through mentoring, progression support, and coaching led leadership Candidate Profile You will be, or have the experience to operate as, a senior consulting leader with deep UK Public Sector experience across data, analytics, and AI, operating credibly at Director level within a large consultancy environment. You bring a collaborative, inclusive leadership style, and you are confident owning commercial outcomes while developing talent and delivering high-quality work. Essential experience: senior Public Sector relationships, enterprise data or AI strategy, leadership of complex transformations, ownership of commercially significant growth, translating AI and analytics into practical change, effective leadership in matrixed environments. Apply or message for a confidential discussion Need to Know Travel is client-led and planned where possible, with flexibility depending on engagement needs Competitive base salary, flexible benefits, and performance-linked variable compensation
Feb 05, 2026
Full time
Director, Strategic Data Analytics (Public Sector) Office base typically London, Manchester, or Glasgow Excellent Salary depending on profile About the Consultancy We are working with a world renowned, global consultancy that partners with senior leaders to shape and deliver digital transformation. Guided by a purpose led commitment to an inclusive and sustainable future. Its multidisciplinary teams across strategy, data, AI, design, and engineering build new digital products, services, and operating models that help organisations modernise, scale, and grow responsibly. The Role Senior leadership position within an established Enterprise Data Analytics practice, focused on UK Public Sector clients. You will shape growth, build trusted senior relationships, and lead complex programmes that deliver measurable outcomes, with strong governance and responsible use of AI. Key Responsibilities Own Director level commercial performance, shaping pipeline, converting opportunities, and delivering sustainable account growth Lead account strategy and senior stakeholder engagement, becoming a trusted advisor across data, analytics, and AI agendas Sponsor major programmes, setting clear direction, strong governance, and delivery quality across multi-disciplinary teams Contribute to propositions, bids, and practice direction, supporting repeatable, scalable offerings Lead one or more areas: Operational Analytics, Data and AI Strategy, Data and AI Innovation, Data and AI Factory Build inclusive, high performing teams through mentoring, progression support, and coaching led leadership Candidate Profile You will be, or have the experience to operate as, a senior consulting leader with deep UK Public Sector experience across data, analytics, and AI, operating credibly at Director level within a large consultancy environment. You bring a collaborative, inclusive leadership style, and you are confident owning commercial outcomes while developing talent and delivering high-quality work. Essential experience: senior Public Sector relationships, enterprise data or AI strategy, leadership of complex transformations, ownership of commercially significant growth, translating AI and analytics into practical change, effective leadership in matrixed environments. Apply or message for a confidential discussion Need to Know Travel is client-led and planned where possible, with flexibility depending on engagement needs Competitive base salary, flexible benefits, and performance-linked variable compensation
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle's Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
Feb 01, 2026
Full time
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle's Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
Senior Data Engineer (Python & SQL) Location London with hybrid working Monday to Wednesday in the office Salary 70,000 to 85,000 depending on experience Reference J13026 An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team. This role sits at the core of data engineering. You will work with data that is often imperfect and transform it into well structured, reliable datasets that other teams can depend on. The focus is on engineering high quality data foundations rather than analytics or cloud infrastructure alone. You will design and build clear, maintainable data pipelines using Python and SQL within a modern data and AI platform, with a strong focus on data quality, robustness, and long term reliability. You will also play an important mentoring role within the team, supporting and guiding other data engineers and helping to raise engineering standards through thoughtful, hands on leadership. Why join A supportive and inclusive environment where different perspectives are welcomed and people are encouraged to contribute and be heard Clear progression with space to deepen your technical expertise and grow your confidence at a sustainable pace A team that values collaboration, good communication, and shared ownership over hero culture The opportunity to work on meaningful data engineering problems where quality genuinely matters What you will be doing Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle Shaping scalable data models that support a wide range of downstream use cases Working closely with Product, Engineering, and Data Science teams to understand data needs and constraints Mentoring and supporting other data engineers, sharing knowledge and encouraging good engineering practices Contributing to the long term health of the data platform through thoughtful design and continuous improvement What we are looking for Strong experience using Python and SQL to transform large, real world datasets in production environments A deep understanding of data structures, data quality challenges, and how to design reliable transformation logic Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar Confidence working with imperfect data and making it fit for consumption downstream Experience supporting or mentoring other engineers through code reviews, pairing, or informal guidance Clear, thoughtful communication and a collaborative mindset You do not need to meet every requirement listed. What matters most is strong, hands on experience using Python and SQL to work confidently with complex, real world data, apply sound engineering judgement, and help others grow through your experience. Right to work in the UK is required. Sponsorship is not available now or in the future. Apply to find out more about the role. If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)
Jan 31, 2026
Full time
Senior Data Engineer (Python & SQL) Location London with hybrid working Monday to Wednesday in the office Salary 70,000 to 85,000 depending on experience Reference J13026 An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team. This role sits at the core of data engineering. You will work with data that is often imperfect and transform it into well structured, reliable datasets that other teams can depend on. The focus is on engineering high quality data foundations rather than analytics or cloud infrastructure alone. You will design and build clear, maintainable data pipelines using Python and SQL within a modern data and AI platform, with a strong focus on data quality, robustness, and long term reliability. You will also play an important mentoring role within the team, supporting and guiding other data engineers and helping to raise engineering standards through thoughtful, hands on leadership. Why join A supportive and inclusive environment where different perspectives are welcomed and people are encouraged to contribute and be heard Clear progression with space to deepen your technical expertise and grow your confidence at a sustainable pace A team that values collaboration, good communication, and shared ownership over hero culture The opportunity to work on meaningful data engineering problems where quality genuinely matters What you will be doing Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle Shaping scalable data models that support a wide range of downstream use cases Working closely with Product, Engineering, and Data Science teams to understand data needs and constraints Mentoring and supporting other data engineers, sharing knowledge and encouraging good engineering practices Contributing to the long term health of the data platform through thoughtful design and continuous improvement What we are looking for Strong experience using Python and SQL to transform large, real world datasets in production environments A deep understanding of data structures, data quality challenges, and how to design reliable transformation logic Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar Confidence working with imperfect data and making it fit for consumption downstream Experience supporting or mentoring other engineers through code reviews, pairing, or informal guidance Clear, thoughtful communication and a collaborative mindset You do not need to meet every requirement listed. What matters most is strong, hands on experience using Python and SQL to work confidently with complex, real world data, apply sound engineering judgement, and help others grow through your experience. Right to work in the UK is required. Sponsorship is not available now or in the future. Apply to find out more about the role. If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)
Senior Analyst - ECM Hybrid London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company We're talking about a forward-thinking consumer finance business, delivering products that genuinely put customers in control. Innovative. Ethical. Customer first. No jargon. No unnecessary complexity. Just fair, transparent lending and smart, data led decision making. If you like the sound of shaping strategies that make a real difference. Read On. The Role We're looking for a commercially minded Senior Analyst to join a collaborative analytics team, working at the heart of customer engagement and portfolio performance. The opportunity sits within an Existing Customer Management' analytics environment. This is a hands-on, data-driven role where you'll shape strategies that deepen customer relationships, improve profitability, and reduce losses, all while keeping customer outcomes front and centre. Expectations Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. Take a test and learn' approach, challenging the status quo to find better outcomes. Translate portfolio trends into strategies that shape customer journeys. Collaborate with stakeholders across product, finance, and operations to deliver measurable impact. About You You're not just about the numbers, you know how to use them to tell a story and influence change. You're confident in keeping communication sharp and to the point, while still being respectful, helping save time and keep things running smoothly for everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. Credit Card industry experience A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For MySQL, AWS, or other big-data platform experience. Proven track record in consumer finance strategy. Experience linking analytics to commercial decisions. What's on Offer Competitive salary, annual bonus, and regular pay reviews. Hybrid working with London office presence. Great benefits package: pension, private medical, life cover, enhanced leave, and more. This is your chance to join a growing, purpose driven business, and to see your work make a direct impact on customers. APPLY NOW
Oct 08, 2025
Full time
Senior Analyst - ECM Hybrid London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company We're talking about a forward-thinking consumer finance business, delivering products that genuinely put customers in control. Innovative. Ethical. Customer first. No jargon. No unnecessary complexity. Just fair, transparent lending and smart, data led decision making. If you like the sound of shaping strategies that make a real difference. Read On. The Role We're looking for a commercially minded Senior Analyst to join a collaborative analytics team, working at the heart of customer engagement and portfolio performance. The opportunity sits within an Existing Customer Management' analytics environment. This is a hands-on, data-driven role where you'll shape strategies that deepen customer relationships, improve profitability, and reduce losses, all while keeping customer outcomes front and centre. Expectations Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. Take a test and learn' approach, challenging the status quo to find better outcomes. Translate portfolio trends into strategies that shape customer journeys. Collaborate with stakeholders across product, finance, and operations to deliver measurable impact. About You You're not just about the numbers, you know how to use them to tell a story and influence change. You're confident in keeping communication sharp and to the point, while still being respectful, helping save time and keep things running smoothly for everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. Credit Card industry experience A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For MySQL, AWS, or other big-data platform experience. Proven track record in consumer finance strategy. Experience linking analytics to commercial decisions. What's on Offer Competitive salary, annual bonus, and regular pay reviews. Hybrid working with London office presence. Great benefits package: pension, private medical, life cover, enhanced leave, and more. This is your chance to join a growing, purpose driven business, and to see your work make a direct impact on customers. APPLY NOW
