1 to 25 of 70 Credit Risk Modelling Jobs in the UK

understand their business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such … as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/… robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift in financial models Collaborate with risk, compliance and legal teams to navigate financial regulations and ensure models meet stringent industry standards Engage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms More ❯

understand their business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on … areas such as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking … robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift in financial models Collaborate with risk, compliance and legal teams to navigate financial regulations and ensure models meet stringent industry standards Engage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms More ❯

understand their business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on … areas such as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking … robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift in financial models Collaborate with risk, compliance and legal teams to navigate financial regulations and ensure models meet stringent industry standards Engage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms More ❯

understand their business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on … areas such as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking … robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift in financial models Collaborate with risk, compliance and legal teams to navigate financial regulations and ensure models meet stringent industry standards Engage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms More ❯

mean we're a team through thick and thin. What to expect Reporting to the Co-Founder and Chief Product Officer, you'll lead a cross-functional team-including Risk Strategy, Frontend, and Backend Engineers on Raylo's Risk Decisioning & Pricing capabilities. Working closely with engineers and data scientists, you'll optimise approval rates and drive sustainable, profitable … growth. That means boosting approval rates-finding and accepting more good customers while keeping risk in check-alongside pricing optimisation to improve conversion rates and UX improvements that make the journey seamless. As Raylo's second product hire, you'll have the opportunity to make a major impact. You'll tackle some of our most complex challenges and own … our most important proprietary tech. We move fast, ship frequently, and stay focused on outcomes. Your primary focus will be on building the product and proprietary tech, while the Risk Strategy Lead owns analytics, credit risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling More ❯

mean we're a team through thick and thin. What to expect Reporting to the Co-Founder and Chief Product Officer, you'll lead a cross-functional team-including Risk Strategy, Frontend, and Backend Engineers on Raylo's Risk Decisioning & Pricing capabilities. Working closely with engineers and data scientists, you'll optimise approval rates and drive sustainable, profitable … growth. That means boosting approval rates-finding and accepting more good customers while keeping risk in check-alongside pricing optimisation to improve conversion rates and UX improvements that make the journey seamless. As Raylo's second product hire, you'll have the opportunity to make a major impact. You'll tackle some of our most complex challenges and own … our most important proprietary tech. We move fast, ship frequently, and stay focused on outcomes. Your primary focus will be on building the product and proprietary tech, while the Risk Strategy Lead owns analytics, credit risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling More ❯

About Us: One-third of the UK's working-age population is unable to access mainstream financial services. These individuals are excluded from affordable credit and underserved by traditional financial institutions. Our purpose is "To improve the nation's financial health through accessibility, affordability, and community." Amplifi Capital is a fast-growing social FinTech, empowering not-for-profit Credit Unions in the UK with state-of-the-art technology and credit capabilities. We aim to grow a network of Community Lenders into viable challengers to high-cost lenders, creating affordable alternatives at scale. With a team of over 200 people and more than 180,000 active customers, Amplifi is a data-driven business with strong ambitions and … a proven platform. We are led by a senior team with decades of experience across institutions such as Credit Suisse, UBS, NatWest, CapitalOne, NewDay and Barclays. The Role: The Credit Risk Director/Chief Credit Officer is a core member of the executive leadership team, responsible for shaping and driving the company's credit risk More ❯

We’re looking for a Senior Credit Risk Manager About us Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics – they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since … more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we ensure businesses get the funds they need – often within minutes. Your mission As Senior Credit Risk Manager, your mission is to drive the performance and evolution of iwoca’s enhanced (manual) underwriting in Germany — one of our most dynamic and strategic markets. You … ll lead the day-to-day oversight of our enhanced underwriting portfolio, ensuring it delivers strong, sustainable outcomes within our credit risk appetite. Working closely with Credit Analyst Specialists, data scientists, and cross-functional teams, you’ll help refine how we blend manual assessments with data-driven models to make the smartest lending decisions possible. Your key More ❯

rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. We are scaling up our second line of defence Credit Risk team … disciplines such as IFRS 9 (PD, LGD, EAD, macroeconomic models), ICAAP, Borrowing decisions and strategy. Strong data and analytical skills are a must, as is a deep expertise in credit risk modelling, and at least some of the following areas: scorecard modelling, IFRS9 provision methodology, Net Present Value modelling, capital modelling and stress testing. … Monzo’s Credit Risk (Risk and Compliance) and Data Team Our mission in the Risk and Compliance is to To help Monzo grow safely The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud and Finance to help Monzo grow safely. Our Data team 's mission More ❯

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 ❯

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 ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job Description 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 models: 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 … 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 More ❯

bring an entrepreneurial spirit and a desire to learn and collaborate to your work, this could be the boost your career deserves. Are you an experienced professional in Model Risk & Validation looking to make a significant impact in the financial services industry? Investec is seeking a Senior Model Validation Manager, leading the review and technical validation of the credit models used within the bank, to help ensure the bank's models are managed in line with policy, regulation and risk appetite, as well as supporting the oversight of validation exercises conducted by junior members of the team. This will also include deputisation responsibilities for the UK Head of MR&V, with the opportunity to progress into this … team. In this pivotal role, you will be responsible for the independent review and challenge of the models used within Investec Bank plc and helps ensure we manage Model Risk in line with policy, regulation, risk appetite and UK best practice. About the Team: The Model Risk & Validation team plays a crucial role in safeguarding the integrity More ❯

can bring an entrepreneurial spirit and a desire to learn and collaborate to your work, this could be the boost your career deserves. Are you an experiencedprofessional in Model Risk & Validation looking to make asignificant impact in the financial services industry? Investec is seeking a Senior Model Validation Manager, leading thereview and technical validation of the models used within … the bank, to help ensure the bank's models are managed in line with policy, regulation and risk appetite, as well as supporting the oversight of validation exercises conducted by junior members of the team. This will also includedeputisation responsibilities for the UK Head of MR&V, and an excellent opportunity for future career progression into heading up the … validation team. In this pivotal role, you will be responsible for the independent review and challenge of the modelsused within Investec Bank plc and helps ensure we manage Model Risk in line with policy, regulation, risk appetite and UK best practice. About the Team: The Model Risk & Validation team plays a crucial role in safeguarding the integrity 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 ❯

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 ❯

Job Description 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 More ❯

Social network you want to login/join with: Credit Risk Analyst/Data Scientist, maidstone col-narrow-left Client: Eden Smith Group Location: maidstone, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: 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 More ❯

Job Description Credit Risk Model Validation Manager Up to £80,000 Hybrid London The Company I am hiring a Model Validation for a top fintech based in London who have multiple portfolios across both unsecured lending and secured lending. You will be working with experts across the industry to validate risk models across the business using AI … and Machine learning modelling. The Role As a Model Validation Manager , you will be: Validating Credit Risk models like IFRS9 (PD, EAD, and LGD) Using analytics skills to improve credit risk models and model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to … R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and python Strong experience with validating credit risk models. Experience working in financial services Excellent communication skills Strong stakeholder management A numeric degree from a top university Benefits Up to £80,000 + benefits package More ❯

is provided by Cornwallis Elt. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Head of Quantitative Risk Analytics – Quantitative Finance, Counterparty Credit Risk, Model Development, Model Validation, Risk Analysis, Python, R, SQL, Numerix, - City of London, Permanent A senior Quantitative Specialist is sought … after by a Global Investment Bank to take ownership of their European Counterparty Credit Risk (CRR) modelling function, as part of the wider Risk Analytics group. In this role, you will be responsible for managing the end-to-end modelling lifecycle, being responsible for methodology, model design and development, through to implementation and validation, helping … support local Counterparty Credit Risk Management. This will be a multi-functional role, with responsibility for building and maintaining the modelling infrastructure and ecosystem, as well as undertaking quantitative research to keep models up to date ensuring the business have access to accurate analytics. You will work closely with the business and other quantitative specialists for a More ❯

As a Manager you will be responsible for managing a portfolio of projects and for the timely delivery of services. Location: London Category: Risk Type: Permanent Key Duties (Including but not limited to): Provide effective project management of valuation engagements from inception to completion. Deliver clear, succinct, and robust valuation reports that are fit for purpose and accessible to … Minimum Requirements: A master’s degree in Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Strong professional interest in the fields of retail and corporate credit risk, scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards underpinning these areas. Significant credit risk experience gained ideally … from a major financial institution, another professional services firm, or a credit ratings agency. Valuation experience will be an advantage. Desirable previous credit risk modelling experience or the building and/or validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level More ❯

tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. OVERVIEW OF THE DEPARTMENT/SECTION Enterprise Risk Management (ERM) is responsible for supporting the EMEA Chief Risk Officer to implement an effective risk governance framework across MUFG EMEA, and providing a holistic view of … the risks facing MUFG in EMEA, including environmental and social risk management. The Model Risk Management (MRM) within ERM is responsible for model governance and the validation of models used by MUFG in EMEA. This includes, among others, risk models which are used for risk measurement and decision-making purposes. MRM works closely with Risk Analytics and Front Office quants to ensure that all risk models are validated on a periodic basis as well as at inception and changes. MRM provides regular model risk reporting to model oversight committees and the Board. MAIN PURPOSE OF THE ROLE Independent model validation of quantitative methodologies, both initial and periodic, across all asset classes and More ❯

rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. We are scaling up our second line of defence Credit Risk team … business disciplines such as IFRS 9 (PD, LGD, EAD, macroeconomic models), ICAAP, Borrowing decisions and strategy. Responsibilities: Perform independent model validation as part of our second line of defence Credit Risk teams and ensure the credit risk models are fit for purpose (including IFRS 9, NPV, Stress Testing, ICAAP, Decision Science scorecards, economic response models). … Review ongoing model performance monitoring to ensure the Borrowing models are performing within risk thresholds and provide support to the Borrowing model development team when further action is required. Review and challenge our provisions and adequacy, including reviewing the 1st line of defence analysis; performing independent analysis and testing; actively contributing into discussions of emerging regulatory changes and best More ❯

Head of Risk Analytics - Quantitative Finance, Counterparty Credit Risk, Model Development, Model Validation, Risk Analysis, Python, R, SQL, Numerix, - City of London, Permanent A senior Quantitative Specialist is sought after by a Global Investment Bank to take ownership of European their Counterparty Credit Risk (CRR) modelling function, as part of the wider global … Risk Analytics group. In this role, you will be responsible for managing the end-to-end modelling lifecycle, being responsible for methodology, model design and development, through to implementation and validation, helping support local Counterparty Credit Risk Management. This will be a multi-functional role, with responsibility for building and maintaining the modelling infrastructure and … work closely with the business and other quantitative specialists for a cohesive model development process, including the implementation of highly accessible tools and dashboards for users to effectively undertake risk analysis. To be successful, you will demonstrate: • Minimum of a Master's degree in the quantitative field, preferably having achieved a PhD • A strong background in Quantitative Analysis and More ❯