14 of 14 Credit Risk Modelling Jobs in the UK excluding London

Credit Risk Assistant Manager – KPMG – Consulting www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Consulting function is a cornerstone of our business. Operating from London we do work that matters, serving the country with diligence and expertise. KPMG is one of the world's largest and most respected … businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as Strategy, Forensic, Risk and Regulatory, People and Talent, and Operational and Financial Transformation, we become immersed in our clients' organisations, applying sector knowledge and technology solutions to … deliver the best possible outcomes and get it right first time. Why Join KPMG as a Credit Risk Assistant Manager? KPMG are currently looking for Credit Risk Assistant managers to take the next step in their career, with the team constantly growing there is no better More ❯

About the role Are you an experienced and analytical leader in credit risk modelling? Were looking for a talented Credit Modelling Senior Manager to join our team on a 12-month FTC to take charge of developing, implementing, and validating credit risk models … across the customer lifecycle. This is a fantastic opportunity to play a key role in integrating and enhancing our existing credit models while collaborating closely with senior leaders to build a Group Credit Modelling function. What You'll Be Doing Design & Build Credit Models lead the … development. Support the creation of a Group Modelling function developing best practice for the delivery of Credit Modelling. Collaborate with Teams across the business to integrate models into decision-making systems. Ensure Compliance build models that meet internal and regulatory standards. Transform Data into clear business Insights . More ❯

Credit Risk Manager (Data) Opportunity for a Credit Risk Manager to join a up and coming fintech in Nottingham Salary up to £65,000 + fantastic benefits including a generous holiday allowance, collaborative working culture, flexible working and much more Apply online or contact Chelsea Hackett … 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 More ❯

Credit Risk Manager | Competitive Salary | Hybrid | Fintech | £45K- £65K Base on Experience Location: Nottingham (Hybrid Available) Are you a data-driven Credit Risk professional looking to make an impact in the fintech space? Join a fast growing lending company that's revolutionizing access to financial services … for underserved communities. 🎯 The Role: As our Credit Risk Manager, you'll lead the development and optimization of our credit decisioning strategies, leveraging advanced analytics to drive business growth while maintaining robust risk management frameworks. 💼 Key Responsibilities: Drive Credit Innovation & Risk Strategy: • Shape the … future of credit decisioning through custom scorecard development and validation • Partner with major credit bureaus (TransUnion, Experian) to enhance risk segmentation • Architect advanced statistical models that revolutionize our credit risk assessment Lead Predictive Analytics: • Build next-generation Probability of Default (PD) models • Transform raw data More ❯

number of leading Wholesale banking clients within London, you will work on challenging projects and play a key role in growing my client’s credit risk consulting expertise in Wholesale banking, through the development of Wholesale IRB Credit Risk models More broadly my client partners with … all levels are actively encouraged to participate in the success of their employer The primary focus of the role will be around Wholesale IRB credit risk, utilizing your hands-on modelling experience to build relevant risk management models and deliver exceptional client outcomes This is a … in a management consulting capacity within financial services and/or the banking industry (corporate, commercial or challenger banks), with a focus around providing credit risk management solutions A proven quantitative background is essential with your practical experience stemming from working within the European financial services industry and More ❯

SENIOR CREDIT RISK PRICING ANALYST £60,000 - £80,000 LONDON A fast-growing fintech lender is looking for an experienced Senior Credit Risk Pricing Analyst to join their Credit Risk team. In this high-impact role, you'll develop pricing strategies, analyse portfolio performance … and optimise risk-adjusted returns across multiple regions. THE COMPANY This is a rapidly scaling embedded finance platform that powers funding for merchants through partnerships with global e-commerce and payments leaders. Operating in several countries, it uses AI-driven credit assessments to deliver fast, flexible capital to … SMEs and small businesses. THE ROLE As Senior Credit Risk Pricing Analyst, your day-to-day responsibilities include but are not limited to: Conducting pricing and credit risk analysis using statistical techniques and data modelling Monitoring portfolio trends to ensure alignment with return targets Supporting More ❯

LEAD CREDIT RISK DATA SCIENTIST LONDON UP TO £140,000 If you love building models more than managing people, and you're excited by the idea of shaping the future of motor financing-this one's for you. You will be joining as an individual contributor, owning the … Data Science function! THE ROLE Build, validate, and deploy credit risk, fraud, collections models Analyse portfolio performance and monitor key risk indicators Collaborate with data engineers to productionise and maintain model pipelines Ensure compliance with relevant regulations and support model governance processes Communicate insights clearly to technical … and non-technical stakeholders REQUIREMENTS credit risk modeling/data science role, ideally in fintech, banking, or consumer lending Strong Python and SQL skills (Pandas, Scikit-learn, etc.) Solid understanding of credit risk modelling, statistical methods HOW TO APPLY Please apply below... More ❯

Head of Data Science (Credit Risk & Fraud) Up to £140,000 London Hybrid I am currently hiring for a top consumer lending fintech based 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 decisioning/developing scorecard models using SQL, Python, and Snowflake Developing models for fraud prevention and models for customer analytics 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. Cross-collaborating with other functions across the business to increase efficiency and revenue Your More ❯

The company: Leadenhall Search & Selection are recruiting for a fast-growing credit risk analytics consultancy with a global presence. The organisation are growing their team and looking for experienced credit risk modelers to join them. The role: Our client is looking to bring in credit risk modelers across a number of levels. This person will have the opportunity to take on meaningful technical responsibility in the development and validation of IRB and IFRS 9 models. The person: 2:1 or above in a relevant Bachelor's degree. 2+ years of hands on experience … in credit risk modelling. Exposure to IRB/IFRS 9 regulations. Proficiency in SAS or Python. Strong communicator with ability to interact with stakeholders of varying levels on a technical and non-technical basis. What’s on Offer: Competitive salary and a strong bonus and benefits package Client 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 ❯

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 ❯

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 ❯

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 ❯