151 to 175 of 352 Credit Risk Jobs in the UK

industry. Citi Markets operates across fixed income, currencies, commodities, equities, and prime finance, providing institutional clients worldwide with comprehensive sales, trading, and risk management solutions. Responsibilities: Build, maintain and enhance dashboards and Counterparty Credit Risk (CCR) exposure tools to support the business during crisis management, internal innovation … initiatives and regulatory engagements. Support broader projects across the Counterparty Trading & Risk group, providing analysis and investigations related to Counterparty Credit Risk and XVA Trading. Demonstrate the ability to quickly grasp new concepts, solve complex problems and think creatively. Effectively manage competing priorities and deliver against time ...

Barclays in Edinburgh/Glasgow is seeking a Credit Risk Portfolio Analyst to monitor and manage risk across lending products, including loans and cards. You will run SAS scripts, produce management reports, and support decision making with data-driven insights. The role offers exposure to governance activities … path into broader portfolio risk management. A STEM-focused degree and strong analytical skills are essential for success in this role. #J-18808-Ljbffr ...

offer . Build the product capabilities that govern how Wise manages and invests tens of billions of pounds of customer funds, while controlling counterparty risk across a global network of partners. We’re looking for a Principal Product Manager in London to join our Treasury organisation, focused on Cash … Asset Management (CAM) and Counterparty Credit Risk. This is a senior individual-contributor role. You’ll be working in two strategically important and growing domains, helping turn strong functional foundations into fully-fledged, scalable product teams. The emphasis is on setting direction, building clarity, and creating leverage through systems ...

This is a senior technical role combining quantitative modelling, software engineering and financial markets , with responsibility for developing analytics libraries used across pricing and risk management. You will work closely with Traders, Structurers, Quantitative Analysts and technology teams to deliver robust, scalable and production-ready solutions. Key Responsibilities Develop … maintain quantitative analytics libraries supporting pricing and risk management. Implement and support quantitative models using a combination of mathematical and computer science techniques. Develop pricing and valuation models using numerical methods, including Monte Carlo simulations and PDE solvers. Build high-quality software using C++ and Python, alongside technologies such ...

make it count. Want to see us in action? Follow us on Instagram @zopalife The team Our Data Science team helps Zopa make better credit decisions. We partner closely with Credit Strategy, Product and Engineering to turn ambiguous business problems into robust models, clear analysis and practical solutions. … growing a dedicated, product-facing data science capability focused predominantly on credit. The team will help rebuild and expand the models that support consumer-credit decisions, while increasing the sophistication of how we model risk, value and outcomes. This is a hands-on individual-contributor role ...

About the Role: Grade Level (for internal use): 07 The Team: Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory riskcapitaland derivative valuation adjustments. Our solutions combine advanced analytics and technology, including a fully … largest tier-one banks to smaller specialist firms. The Impact: In this role, you will help shape and deliver enhancements to our Market Risk product by translating client, market, and internal stakeholder needs into clear product requirements. You will support the achievement of team goals through your own personal ...

Across two year-long placements, you’ll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientistuncovering insights, making predictions and solving complex … libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next‐generation AI applications using foundation models, retrieval‐augmented generation ...

working. Across two year-long placements,you’llsee how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, makingpredictionsand solving complex problems … libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation ...

working. Across two year-long placements,you’llsee how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, makingpredictionsand solving complex problems … libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation ...

Across two year-long placements, you’ll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. A Data & AI Scientist uncovering insights, making predictions and solving complex problems with … models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval ...

Across two year-long placements, you’ll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: Data & AI Scientist – uncovering insights, making predictions and solving complex … libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation ...

Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving … libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation ...

Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving … libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation ...

Skillfinder International is recruiting a Murex Technical Consultant for a major Murex upgrade and Enterprise Risk Management programme in London. The role involves hands‐on Murex delivery across Market Risk, Credit Risk and Trade Pricing, working with traders, risk teams, analysts and vendors. You will ...

SMBC Group in the United Kingdom is seeking a senior Technology Management & Engineering Leader to head EMEA Risk Management Technology capabilities, focusing on Credit Risk and Operational Risk. You will translate risk requirements into modern, secure data solutions, lead engineering teams and collaborate with stakeholders across ...

Skillfinder International is recruiting a Murex Technical Consultant for a major upgrade and Enterprise Risk Management programme in London. You will support a hands‐on Murex upgrade, enhance the production environment across Market Risk, Credit Risk and Trade Pricing, and work closely with traders, Risk ...

JPMorgan Chase in Glasgow seeks a Software Engineer III to join the Corporate Technology Credit Risk team. You will design and deliver secure, scalable technology products supporting credit risk objectives and collaborate with cross-functional partners in an agile environment. You will build secure Java back … services, deliver responsive React front-end features, and optimize data models and SQL queries to enable risk reporting and analytics. #J-18808-Ljbffr ...

return it when you’re done. Behind that sits an AI-powered operating system that executes and manages device subscriptions end to end: credit and fraud decisioning, lifecycle operations, and the financing engine that enables brands to run subscription programmes at scale. Brands can unlock a powerful new growth … define the next decade. Raylo is uniquely placed to benefit. We combine proprietary technology and data with the orchestration of physical assets, operating across credit, fraud, pricing, logistics, refurbishment, resale and customer care. With AI improving every cycle, our moat deepens with scale. At Raylo, AI is woven into ...

event framework and product-health reporting Champion responsible use of agentic AI as a force multiplier for analytics, with sensible guardrails Partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps and trade-offs with evidence, giving senior leadership clear visibility on what's driving key metrics … hold your own with Product Directors and Commercial stakeholders Systems thinker, comfortable in a mature, complex product environment with interacting parts (e.g. payments, credit risk, ML models feeding user experience) Exec-ready storytelling - can synthesise across pillars, land insight at the right moment, and set and defend targets ...

little as 4 hours. Requirements The Role We're looking for a Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending. You'll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working … intersection of data and risk, to shape the future of our lending strategy. The role offers the flexibility to work remotely for most of the week, with 2 days per week in our Central Birmingham office , working closely with our Data and risk teams. While we're open ...

funding in as little as 4 hours. The Role We’re looking for a Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending. You’ll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working … intersection of data and risk, to shape the future of our lending strategy. The role offers the flexibility to work remotely for most of the week, with 2 days per week in our Central Birmingham office , working closely with our Data and risk teams. While we’re open ...

strong data foundations most teams spend years trying to put in place. You'll own the models that drive growth directly, from credit risk decisioning to customer retention, and you'll have the autonomy and senior visibility to shape how data science is done across the whole company. … advanced modelling is used across the business. Own the end-to-end design, build and deployment of production-grade machine learning models, including credit risk and churn prediction. Partner with Product, Engineering, Risk, Operations and Commercial teams to identify where advanced modelling can have the greatest impact. ...

Intec Select Ltd. (London) seeks a Senior Vice President to lead the Credit Risk Technology function, directing architecture, delivery, and enterprise-wide analytics platform strategy. This is a high-visibility leadership role with responsibility for global teams, budget, and regulatory-driven initiatives. The role focuses on counterparty risk analytics, cloud-native modernization, AI-enabled solutions, and governance across Risk, Front Office, and Operations. #J-18808-Ljbffr ...

leading fintech company in London is seeking a Senior Credit Risk Analyst who will drive meaningful change in consumer finance products. This role requires confidence in data and coding skills, particularly in Python and SQL. The successful candidate will define credit strategies, derive insights from data ...

Fintellect Recruitment seeks a Credit Underwriter for a growing SME lender in London. You will assess loan applications, evaluate credit risk, and apply data-driven decisions using both traditional analysis and fintech tools. In a small, collaborative team, you’ll work with Credit Risk, Operations ...