6 of 6 Credit Risk Modelling Jobs in the UK excluding London

Risk Analytics – Counterparty Credit Risk Quantitative Analyst Quantitative specialist for developing and managing analytics for counterparty credit risk models. Candidate will join the Risk Analytics group that partakes in model development over the full life-cycle of modes: from methodology to design to local implementation and validation. The successful candidate will also provide quantitative … risk analysis to support daily counterparty credit risk management. Responsibilities • Develop and implement analytics for counterparty credit risk management. • Build infrastructure to consolidate counterparty credit risk models across systems. • Perform quantitative research to implement model changes, enhancements and remediations. • Work with stakeholders across business and functional teams during model development process. • Create tools … and dashboards which can enhance and improve the risk analysis. • Conduct analysis on existing model short-comings and design remediation plans. • Maintain, update and back-test risk models. • Assess the methodologies and processes to identify potential weaknesses and the associated materiality of the risk Qualifications • At least a Master’s Degree in quantitative subject; PhD Degree is More ❯

Credit Risk Manager (Data) Opportunity for a Credit Risk Manager to join a up and coming fintech in Nottingham Salary up to £90,000 + fantastic benefits including a generous holiday allowance, collaborative working culture, flexible working and much more Apply online or contact Chelsea Hackett via Chelsea.hackett@searchability.com WHO ARE WE? We’re a well … company where your work genuinely makes a difference, we’d love to hear from you. WHAT WILL YOU BE DOING? In this role, you’ll lead the development of credit risk models and decisioning strategies, using data from credit bureaus, as well as internal analytics. You’ll design and implement statistical models to assess risk, run … A/B tests to refine our credit policies, and translate complex data into clear, actionable insights for the wider business. Your work will directly influence lending decisions, support portfolio growth, and ensure we maintain a robust and scalable risk framework as we continue to grow. CREDIT RISK MANAGER – ESSENTIAL SKILLS Proven financial industry experience Minimum More ❯

Are you looking to leave your starter jobs and progress your career in Credit Risk & Data Science? Do you want to work in a fast paced environment where you can make an immediate impact? *PLEASE NOTE* - All Candidates MUST be able to commute ON-SITE to Seven Oaks, Kent 3 days per week. Public Transport is limited so … IDEALLY candidate will hold a full UK drivers licence and own car. We are hiring a Credit Risk Analyst/Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on … experience in predictive modelling, loss forecasting, and machine learning, all within a growing, tech enabled financial services organisation. The Role You will be part of a small, high impact data science team responsible for: Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections Supporting loss forecasting for both new business and the existing More ❯

fintech companies, revolutionizing consumer finance 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 outdated systems with 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 across the business to deliver best-in-market solutions. This is a … 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 into data-driven solutions and clearly communicate insights. Collaborate with More ❯

About the Company: Our client is on a mission to help fintechs and banks automate and enhance due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and credit risk models that protect billions in transactions at … top European fintechs, our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and More ❯

About us At Diligent, we are on a mission to help fintechs and banks catch fraudulent businesses. We build LLM agents to automate risk investigations during business onboarding and monitoring. For example, we can help investigate the online presence of businesses to detect high-risk activities, identify reputation-compromising signals, comb through news articles to extract new risk insights etc. By turning scattered and unstructured data points into structured, actionable insights, we enable risk teams to make better and faster decisions. Our founders have built fraud and credit risk models protecting billions in transactions at Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify the legitimacy of More ❯