26 to 42 of 42 Credit Risk Modelling Jobs in the UK

and building a category-defining platform. As the first Head of Data Science, you'll take full ownership of the data science roadmap. From credit risk modelling and pricing optimisation to fraud detection and customer behaviour analysis-you'll be at the heart of every critical decision. … THE ROLE Design, build, and deploy models to drive Fraud, Collections, scorecards, underwriting, risk, and pricing decisions Collaborate closely with Engineering, Product, and Ops to ship real-world impact Define our approach to data strategy, experimentation, and model governance RESPONSIBILITIES 5+ years of experience in a data science or … machine learning role Deep knowledge of credit risk modelling, ideally in consumer lending or fintech Hands-on experience with Python, SQL, and cloud-based data tools (e.g. AWS, GCP) HOW TO APPLY Please send CV below or email More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit … are delivered - offering customers faster, more transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting … quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. More ❯

internal use): 11 The Structured Finance (SF) team is responsible for a vast portfolio of criteria and models spanning ABS, RMBS, CMBS and Structured Credit (including CLO's). The criteria and models that the group develops and maintains help global analysts produce independent credit ratings covering Structured … maintaining, and delivering a growing portfolio of cutting-edge quantitative tools, Models and analysis that enable analysts to continually produce high quality and transparent credit analysis. This is an excellent opportunity to join S&P Global as we transform our infrastructure and deliver cloud-based tools to the analytical … furthering your career as we power the markets of the future. The Impact: The candidate will enhance our ability to produce high-impact, insightful credit analysis and research and grow our relevance in an evolving market by synthesizing, analyzing, and deriving value from datasets, developing, and delivering innovative analytic More ❯

in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth. The Role: Developing new models for Credit risk … Working with senior stakeholders across different areas of the business being able to manage both down and up Setting out the data science and modelling roadmap for the business Improving efficiency with the development of automation across the business. Your Skills & Experience: Experience with Unsecured consumer lending Strong experience … using SQL and python across your career. Experience owning and developing credit risk models Experience developing scorecards and decisioning models STEM Degree from a top University Salary – Up to More ❯

to lead and shape the underwriting function within a dynamic and fast-growing FinTech. The successful candidate will play a key role in refining credit risk models, optimising underwriting processes, and day-to-day underwriting to support businesses in achieving their growth ambitions. Key Responsibilities Lead the development … of the underwriting and onboarding model. Assess applications in the referral journey, ensuring efficient credit decision-making. Provide insights to enhance credit risk models and improve underwriting processes. Monitor live portfolio performance and contribute to the evolution of risk frameworks. Collaborate with internal teams to refine … fraud detection, collections, and strategy. Required Experience & Skills Minimum 2 years of experience underwriting business loans. Strong expertise in SME credit risk underwriting, including financial statement analysis. Analytical mindset with a keen eye for detail and commercial awareness. Passion for FinTech, ideally with experience in a technology-led More ❯

to lead and shape the underwriting function within a dynamic and fast-growing FinTech. The successful candidate will play a key role in refining credit risk models, optimising underwriting processes, and day-to-day underwriting to support businesses in achieving their growth ambitions. Key Responsibilities Lead the development … of the underwriting and onboarding model. Assess applications in the referral journey, ensuring efficient credit decision-making. Provide insights to enhance credit risk models and improve underwriting processes. Monitor live portfolio performance and contribute to the evolution of risk frameworks. Collaborate with internal teams to refine … fraud detection, collections, and strategy. Required Experience & Skills Minimum 2 years of experience underwriting business loans. Strong expertise in SME credit risk underwriting, including financial statement analysis. Analytical mindset with a keen eye for detail and commercial awareness. Passion for FinTech, ideally with experience in a technology-led More ❯

a contract position focused on building a transaction categorisation system. This is an opportunity to work at the intersection of open banking, NLP, and credit risk modelling, helping to standardise data ingestion from multiple banking data providers. You’ll be involved in designing and training models to … background in model training, and validation. Familiarity with version control, pipelines, and productionising ML models is a plus. Previous experience supporting or integrating with credit risk or affordability frameworks is highly desirable. Contract Details Location: UK, Remote Engagement: Contract Day Rate: Open to discussion based on experience Start More ❯

It is also in the process of delivering the IRB repair requirements as per ECB. As part of the strategic growth plan of its risk modelling function, the firm now seeks an experienced credit risk modeller with significant prior experience of IRB modelling to take … This is a new role, reporting to the Manager for IRB Modelling. The role will involve: Development of models to support business decision making, risk management and estimation of regulatory capital requirements in line with internal development standards and policies. This includes Probability of Default (PD), Loss Given Default … customer or portfolio insights. Contributing to the standards, methodologies and toolsets required to perform analytic activities. Extracting, transforming, and cleaning the data required for modelling and analysis purposes. Engaging with customer-facing Business teams to understand how our analytic outputs can support their decision making. Applicants should possess prior More ❯

large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models … for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in … Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible More ❯

large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models … for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in … Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible More ❯

their flexible working culture, remote working opportunities, excellent benefits, and outstanding internal culture and career progression. As part of a build-out of the risk modelling team, I am looking for an experienced IRB modeller to lead a talented team of modelling analysts and data scientists responsible … for developing and remediating the IRB & Scorecards model landscape to ensure effective risk management and capital allocation within the portfolio. As part of this role, you will be responsible for: Managing multiple complex model development projects and analyses; delivering the scoping, design, development, validation, and implementation of models, in … and responsibility for ensuring the performance of models is understood and identifying opportunities for model enhancements. You will lead the design and implementation of credit risk models in line with Bank standards and regulatory compliance requirements. You'll ensure that the models in operation are robust, fit for More ❯

is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that … techniques, working with an expert team of AI engineers including those at Behavox (GenAI). Create impact through your strong mathematical background in stochastic modelling, volatility modelling, statistics and ML (in general). What You'll Bring A deep and genuine interest in MSD as demonstrated by a … market-making/client analytics or pricing models (preferably in an Investment Bank). In-depth knowledge of quantitative finance e.g. stochastic calculus, volatility modelling, price/risk attribution, client strategies. Extensive knowledge of FICC markets and maths including strong trading knowledge in one asset class (Rates, Credit More ❯

by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the ground up. With a strong foothold in the UK and US markets, they are challenging big banks and … cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems More ❯

by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the ground up. With a strong foothold in the UK and US markets, they are challenging big banks and … cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems More ❯

This is a fantastic opportunity for an experienced professional to play a key role in the development and implementation of Internal Ratings-Based (IRB) credit risk models for banks and financial institutions. THE ROLE Develop and validate IRB models: Lead the development and validation of PD, LGD, and … in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory bodies to deliver tailored solutions. Documentation: Prepare comprehensive model More ❯

This is a fantastic opportunity for an experienced professional to play a key role in the development and implementation of Internal Ratings-Based (IRB) credit risk models for banks and financial institutions. THE ROLE Develop and validate IRB models: Lead the development and validation of PD, LGD, and … in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory bodies to deliver tailored solutions. Documentation: Prepare comprehensive model More ❯

outcomes Supporting strategy development through the delivery of robust, scalable analytical tools Collaborating with analysts to share best practices and enhance the team’s modelling capabilities SKILLS AND EXPERIENCE Experience developing credit risk models using logistic regression or similar Knowledge of machine learning approaches such as random More ❯