5 of 5 Permanent Credit Risk Modelling Jobs in East 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 ❯

Lead Credit Risk Modelling Analyst- ECL £70K-£82K London (Hybrid- 2 days a week) This role has a broad remit and covers modelling, reporting, analysis, and strategy . You will also be expected to contribute to other Credit Risk projects and initiatives as required. This role would suit somebody from a modelling background … with relevant experience of other aspects of Credit Risk . Key Responsibilities: Own a suite of Credit Risk models - including application scorecards, PD models and IFRS9/ECL models. Primarily existing models, but you should be able to build bespoke models from scratch when required. Ensure the timely delivery of routine and ad hoc Credit Risk reporting - this includes the production of monthly reporting for Credit Risk Committee. Ad hoc analysis - carrying out analysis and deep dives to understand emerging trends within our new lending and loan books, and making recommendations for change. Projects - represent Credit Risk on cross-team projects. Stakeholder management - you must be able to engage 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 ❯