Experis IT
Corsham, Wiltshire
Job Title: Security Analyst/Detection Engineer Location: Corsham, Wiltshire - 60% Onsite/40% remote Duration: 3 months Rate: £550 per day Clearance Required: Active SC and ideally Active DV clearance. Nationality: Sole UK Nationality is a requirement for this role Role overview: Good Security analyst skills, knowledge of working in a MOD SOC environment beneficial, knowledge of MOD environment and culture. Ability to operate standard SOC tools (SIEM), incident investigation, detection engineering Embedded with an existing Customer SOC, Capgemini supply a level of cyber expertise and corporate experience, assisting the customer in regular SOC activities, as well as proposing new processes and bringing 'best practice' to the workplace. About the role: Conduct reactive monitoring of MOD networks to deliver a layered, agile cyber defence capability across all security domains. Manage and triage alerts; conduct impact assessments and develop mitigating strategies to be briefed up the chain of command. Improve and comply all extant cyber security policies, procedures and orders, review and amend when required. Maintain and share knowledge of current cyber issues, vulnerabilities and exploits through research, technical reports and briefs. Your skills and experience: Experienced Tier 2 SOC analyst. Knowledge of Data networks. Knowledge & experience with SIEM tool sets and security management tools. Desirable Security Qualifications (CompTIA S+/N+/CySA+, AWS, MS, SANS, CISSP etc.). Ideally have some experience with UK MOD Your security clearance To be successfully appointed to this role, it is a requirement to obtain a minimum of Security Check (SC) clearance, with Developed vetting required for full time employment. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)
Job Title: Security Analyst/Detection Engineer Location: Corsham, Wiltshire - 60% Onsite/40% remote Duration: 3 months Rate: £550 per day Clearance Required: Active SC and ideally Active DV clearance. Nationality: Sole UK Nationality is a requirement for this role Role overview: Good Security analyst skills, knowledge of working in a MOD SOC environment beneficial, knowledge of MOD environment and culture. Ability to operate standard SOC tools (SIEM), incident investigation, detection engineering Embedded with an existing Customer SOC, Capgemini supply a level of cyber expertise and corporate experience, assisting the customer in regular SOC activities, as well as proposing new processes and bringing 'best practice' to the workplace. About the role: Conduct reactive monitoring of MOD networks to deliver a layered, agile cyber defence capability across all security domains. Manage and triage alerts; conduct impact assessments and develop mitigating strategies to be briefed up the chain of command. Improve and comply all extant cyber security policies, procedures and orders, review and amend when required. Maintain and share knowledge of current cyber issues, vulnerabilities and exploits through research, technical reports and briefs. Your skills and experience: Experienced Tier 2 SOC analyst. Knowledge of Data networks. Knowledge & experience with SIEM tool sets and security management tools. Desirable Security Qualifications (CompTIA S+/N+/CySA+, AWS, MS, SANS, CISSP etc.). Ideally have some experience with UK MOD Your security clearance To be successfully appointed to this role, it is a requirement to obtain a minimum of Security Check (SC) clearance, with Developed vetting required for full time employment. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)
RecruitmentRevolution.com
City, Leeds
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.
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.
Michael Page Technology
This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with quantitative analysts to align ML models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. Strong Financial Domain Knowledge - Understands financial instruments, derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and cloud platforms (AWS, GCP, Azure). Able to build scalable ML pipelines for large-scale financial data. Model Optimisation & Deployment Experience - Proven track record of deploying ML models at scale, with experience in hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborative & Business-Focused - Works effectively with quants and stakeholders to translate financial requirements into ML solutions. Communicates insights clearly and aligns models with strategic business goals. Innovative & Analytical Mindset - Capable of developing data-driven approaches that complement traditional quantitative models and drive measurable impact in pricing and risk analytics. Job Offer A competitive daily rate up to £1200 per day (inside IR35), depending on experience. The opportunity to work on cutting-edge machine learning projects in the financial services industry. A temporary role offering valuable exposure to a global organisation in London. BASED 4 DAYS PER WEEK IN THE OFFICE (Central London)
This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with quantitative analysts to align ML models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. Strong Financial Domain Knowledge - Understands financial instruments, derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and cloud platforms (AWS, GCP, Azure). Able to build scalable ML pipelines for large-scale financial data. Model Optimisation & Deployment Experience - Proven track record of deploying ML models at scale, with experience in hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborative & Business-Focused - Works effectively with quants and stakeholders to translate financial requirements into ML solutions. Communicates insights clearly and aligns models with strategic business goals. Innovative & Analytical Mindset - Capable of developing data-driven approaches that complement traditional quantitative models and drive measurable impact in pricing and risk analytics. Job Offer A competitive daily rate up to £1200 per day (inside IR35), depending on experience. The opportunity to work on cutting-edge machine learning projects in the financial services industry. A temporary role offering valuable exposure to a global organisation in London. BASED 4 DAYS PER WEEK IN THE OFFICE (Central London)
Huxley Associates
We have a current opportunity for a Trade Support Engineer on a permanent basis. The position will be based in Dublin. Candidate will have a conceptual understanding of how a Interest Rate Swap is priced, Taylor Series, Valuation, Risk & PnL, have an undrstanding of PNL Explain, Unexplained PnL. Knowledge of Calypso, Murex, Aladdin advantageous. 5-8 years of work experience in a Trade Floor Environment. Experience with troubleshooting excel, managing add ins and quant library installs. Understand excel formulas (nested) for complex data manipulation. Able to trace workflows within Excel to find and resolve issues. Exposure to real time data feeds: Market data and BBG, Risk/Pvs, Trade Blotter Understanding of the Rates trading business: Futures, Swaps, Xccy Swaps, FX forwards Good Communication skills Quickly understand from the trader what issues they are experiencing. Keep the trader regularly updated with progress. Articulate the observed issue to other IT teams to help resolve the issue if necessary. Articulate the problem to the trader and how it was fixed. Works well in a high-pressure, fast environment. Basic Python skills, able to debug code and suggest fixes for issues. Comfortable with Excel and coding in VBA Provide 1st and 2nd line IT support for spreadsheet tools and macros used by trading, sales, and risk functions. Possesses strong technical and/or business functional knowledge of systems, timing and dependencies. Conducts independent analysis and assessment to resolve strategic issues. /B.A. in computer science, engineering, information systems, math or business. To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
We have a current opportunity for a Trade Support Engineer on a permanent basis. The position will be based in Dublin. Candidate will have a conceptual understanding of how a Interest Rate Swap is priced, Taylor Series, Valuation, Risk & PnL, have an undrstanding of PNL Explain, Unexplained PnL. Knowledge of Calypso, Murex, Aladdin advantageous. 5-8 years of work experience in a Trade Floor Environment. Experience with troubleshooting excel, managing add ins and quant library installs. Understand excel formulas (nested) for complex data manipulation. Able to trace workflows within Excel to find and resolve issues. Exposure to real time data feeds: Market data and BBG, Risk/Pvs, Trade Blotter Understanding of the Rates trading business: Futures, Swaps, Xccy Swaps, FX forwards Good Communication skills Quickly understand from the trader what issues they are experiencing. Keep the trader regularly updated with progress. Articulate the observed issue to other IT teams to help resolve the issue if necessary. Articulate the problem to the trader and how it was fixed. Works well in a high-pressure, fast environment. Basic Python skills, able to debug code and suggest fixes for issues. Comfortable with Excel and coding in VBA Provide 1st and 2nd line IT support for spreadsheet tools and macros used by trading, sales, and risk functions. Possesses strong technical and/or business functional knowledge of systems, timing and dependencies. Conducts independent analysis and assessment to resolve strategic issues. /B.A. in computer science, engineering, information systems, math or business. To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
