4 of 4 Remote Credit Risk Jobs in the City of London

Senior Credit Risk Analyst – German Market Focus 📍 Location: London (Hybrid) 💰 Salary: £60,000 – £80,000 + Bonus + Stock Options We're hiring a Senior Credit Risk Analyst to join a high-growth fintech lender expanding rapidly across the UK, EU, and US. This role will be instrumental in shaping credit strategy and risk analytics across European portfolios, with a specific focus on the German SME or consumer lending market . 🔍 What You’ll Be Doing: Leading credit risk analysis and policy development for the German lending market Building and maintaining credit scoring models and risk frameworks (PD, LGD, EAD) Working closely with data, product, and commercial teams to … deliver data-driven strategies Monitoring portfolio performance and recommending optimisation strategies Designing analytical tools and dashboards to enhance credit decisioning ✅ What We're Looking For: Strong experience in credit risk within SME or consumer lending Deep understanding of German credit risk practices and regulation Advanced SQL skills; comfort working with large datasets Analytical mindset and More ❯

CREDIT RISK CONSULTANT UP TO £80,000 LONDON This role is a core role within the client analytics function of this consultancy. You will use bureau data to assist client queries and modelling assignments. You will engage heavily with internal stakeholders and external clients to support and drive revenue for the business. THE COMPANY This company is a … helping financial institutions, companies, governmental agencies, and employers make better informed decisions. THE ROLE You will be doing the following daily: Actively engage with clients, building partnerships with their risk and analytics teams, and gaining in-depth knowledge of relevant industries, client business models, challenges, and opportunities. Craft persuasive proposals to secure new analytics and consultancy projects. Manage the … delivery of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques More ❯

platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau … engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data More ❯

Senior Data Scientist – Consumer Credit Modelling Hybrid – London | Up to £75,000 DOE + Benefits Ref: J12979 We’re working with a consumer finance business that’s rethinking credit, making it fairer, simpler, and powered by data. Think challenger fintech with a clear focus on transparency and real-world impact. The Role You’ll take full ownership of … with both structured and unstructured data in a collaborative, fast-paced team. What We’re Looking For Strong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Good grasp of ML algorithms, not just how to run them Clear communicator across technical and non-technical teams Solid awareness of data drift and model monitoring Excellent … data visualisation—You know how to make ideas land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Exposure to deep learning (Keras, TensorFlow) Familiar with Git, Tableau, Bitbucket Master’s in Data Science or related field What’s on Offer Up to £75k depending on experience Bonus scheme + More ❯