26 to 50 of 71 Credit Risk Jobs in London

Lead Data Scientist – Credit Risk/Pricing A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy. This role will put you at the … centre of credit, fraud, and pricing model innovation, while giving you the autonomy to drive AI adoption across the business. If you enjoy bridging technical depth with commercial influence, this is a chance to make a real mark. Required Background Strong background in financial services, consumer lending, or fintech. Expert in credit, fraud and pricing modelling. Advanced skills … science teams. Confidence in regulated environments: model governance, monitoring. Excellent communicator who can influence senior stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML More ❯

Senior Credit Risk Analyst Hybrid | London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company This is a forward-thinking consumer finance business, built to give customers real control. Innovative. Ethical. Customer-first. No jargon, no complexity, just fair, transparent lending driven by smart, data-led decisions. For those who want to shape … you’ll be hands-on with data, shaping strategies that build stronger relationships, boost profitability, and cut losses, all while keeping customer outcomes front and centre. Expectations • Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. • Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. • Take a … in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. • Credit Card industry experience • A proactive mindset More ❯

Senior Credit Risk Analyst Hybrid | London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company This is a forward-thinking consumer finance business, built to give customers real control. Innovative. Ethical. Customer-first. No jargon, no complexity, just fair, transparent lending driven by smart, data-led decisions. For those who want to shape … you’ll be hands-on with data, shaping strategies that build stronger relationships, boost profitability, and cut losses, all while keeping customer outcomes front and centre. Expectations • Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. • Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. • Take a … in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. • Credit Card industry experience • A proactive mindset More ❯

About the roleWe are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models.This role will primarily focus on our US unsecured loans and credit cards business. Our team's objectives The data science team develops proprietary behavioural models combining state of the art techniques with a … variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster … more transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk … on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster … more transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk … on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A More ❯

positive outcomes for customers, partners, and the company. This role involves working in a dynamic, fast-paced environment, delivering significant change and book of work. Key Responsibilities: Lead the credit decisioning strategy deliveries to optimize customer, product, credit risk management, fraud prevention, customer acquisition, and retention. In-depth knowledge and hands-on experience with decisioning platforms, overseeing … and strategies. Collaborate with wider technical teams to optimize the customer experience as part of new and existing customer decisioning. Develop monitoring and tracking for decisioning platform i.e. key risk indicators (KRIs) to reduce latency and ensure decisioning aligns with the company's risk appetite. Engage with key stakeholders to present insights and drive strategic decisions. Facilitate the … designs. Design decision waterfalls to capture exceptions and leaks within logic and create monitoring of decision flows. Key Requirements: Proven experience maintaining and configuring decisioning systems/platforms in credit cards or consumer finance. Strong understanding of credit risk, fraud prevention, KYC compliance and underwriting. Experience with Zoral or similar platforms (Powercurve, TRIAD, Pega, etc.). Familiarity More ❯

Lead Decision/Data Scientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building impactful financial … products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide a … growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model More ❯

Lead Decision/Data Scientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building impactful financial … products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide a … growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital … first platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics … performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital … first platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics … performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

SENIOR CREDIT RISK MODELLING ANALYST UP TO £65,000 LONDON A new position has become available at an established digital bank in London. They are continually growing, and this exciting Senior Modelling Analyst position won’t be on the market for long. This opportunity will allow you to take projects through from start to finish and have great More ❯

SENIOR CREDIT RISK MODELLING ANALYST UP TO £65,000 LONDON A new position has become available at an established digital bank in London. They are continually growing, and this exciting Senior Modelling Analyst position won’t be on the market for long. This opportunity will allow you to take projects through from start to finish and have great More ❯

and working with the acquisitions team to provide insights on collections Your skills and experience To be successful as a Head of Collections, you will need: Experience as a credit risk strategy manager/lead in collections Experience working in a fast-paced environment Experience developing credit risk strategies for collections Strong experience using Data and More ❯

Lead Data Scientist – Credit Risk Modelling £80-105,000 (dependent on experience) London THE COMPANY This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part … of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment … and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have More ❯

Lead Data Scientist – Credit Risk Modelling £80-105,000 (dependent on experience) London THE COMPANY This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part … of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment … and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have More ❯

Lead Data Scientist - Credit Risk Modelling £80-105,000 (dependent on experience)London THE COMPANY This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part … of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment … and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models, whether that be in credit risk, insurance or a wider pricing setting SQL and More ❯

technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale. What You'll Do We are seeking a Manager with … successful candidate will play a pivotal role in shaping and delivering end-to-end IT solutions - from classical ETRM implementations to modern cloud-based data-centric platforms, real-time risk management solutions, and innovative digital and AI solutions for energy trading organisations. You will lead client engagements, manage cross-functional teams, and act as a trusted advisor to senior … experience since graduation, with a solid track record in IT consulting and project delivery. Significant exposure to Energy Trading IT landscapes, with hands-on experience in Energy Trading and Risk Management (ETRM) systems, short-term trading, market access, or related data-centric platforms. Prior work with international energy companies, and/or specialized commodity trading firms highly desirable. Bachelor More ❯

insights, and identify opportunities to integrate improvements and new features into the user flow and product roadmap. Advocate for user needs while balancing business requirements and technical feasibility. Innovation & Risk Management: Drive innovation by identifying emerging technologies and trends that may affect the product landscape. Proactively manage product risks, ensuring that potential roadblocks are identified and mitigated early in … and innovative approach to overcoming product challenges and seizing new opportunities. Data-Driven Decision Making: Comfortable with data analysis and making decisions based on KPIs, metrics, and performance analytics. Risk Management: Experience in risk assessment and mitigation strategies, ensuring smooth product delivery and minimizing potential disruptions. About S&P Global Ratings S&P Global Ratings is the world … s leading provider of independent credit ratings. Our ratings are essential to driving growth, providing transparency and helping educate market participants so they can make decisions with confidence. We have more than 1 million credit ratings outstanding on government, corporate, financial sector and structured finance entities and securities. We offer an independent view of the market built on More ❯

About the Role Grade Level (for internal use): 09 Program Overview: When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You are part of a team that produces high quality fundamental research based on established criteria. Our CREDit Graduate Program is a two … year training and development opportunity with our next intake joining us in September 2026. CREDit Program Analysts are hired for a specific practice; however, you are expected to transition between practices as dictated by business demands. In your first year CREDit analysts focus on acquiring skills and knowledge from your home practice. In your second year CREDit … the structured finance universe such as RMBS, CMBS, ABS, CDOs or CLOs, and exposure to counterparties in this space including arrangers, originators, trustees and legal counsels. Key Responsibilities: Conduct credit and recovery analysis for services provided to corporate, institutional, and governmental clients, ensuring accuracy and attention to detail. Evaluate the creditworthiness of organizations, focusing on their ability to meet More ❯

companies, merchant traders, renewable developers, and digital trading start-ups, on how to optimise and modernise their IT landscapes. Projects span classical ETRM implementations, cloud-based platforms, real-time risk management, and digital/AI solutions. Key Responsibilities Lead end-to-end delivery of IT transformation projects in energy trading. Act as a trusted advisor to senior stakeholders, shaping … Expertise ETRM systems, market data platforms, and trading operations. Cloud-based architectures (Azure, AWS), APIs, microservices. Real-time data, forecasting, optimization, and algorithmic trading. Regulatory compliance (REMIT, EMIR) and risk frameworks (VaR, credit risk). If you have experience in delivering tech commodity trading projects and running teams, we'd love to hear from you. More ❯

companies, merchant traders, renewable developers, and digital trading start-ups, on how to optimise and modernise their IT landscapes. Projects span classical ETRM implementations, cloud-based platforms, real-time risk management, and digital/AI solutions. Key Responsibilities Lead end-to-end delivery of IT transformation projects in energy trading. Act as a trusted advisor to senior stakeholders, shaping … Expertise ETRM systems, market data platforms, and trading operations. Cloud-based architectures (Azure, AWS), APIs, microservices. Real-time data, forecasting, optimization, and algorithmic trading. Regulatory compliance (REMIT, EMIR) and risk frameworks (VaR, credit risk). If you have experience in delivering tech commodity trading projects and running teams, we'd love to hear from you. More ❯

with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do … role We are excited to be hiring a new Data Science Manager for our team! Ideally, this role will suit someone with a proven background in building models in credit, lending, or other areas of financial services. Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of … application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models. This role will primarily focus on our UK Cards business More ❯

the roleWe are excited to be hiring a new Senior Data Scientist for our team! Ideally, this role will suit someone with a proven background in building models in credit, lending, or other areas of financial services. Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of … application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models.This role will primarily focus on our UK Cards business, but through … team's objectives The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency. Research new data sources and unstructured data representation. Data scientists work across the business in a multidisciplinary capacity to identify More ❯

regulatory requirements, and technology innovation. Main Purpose: To act as a Subject Matter Expert (SME) in AI and Digital Resilience within Financial Services, delivering advisory and managed services across risk modelling, fraud detection, AI governance, compliance, and operational resilience. Key Responsibilities: AI in Financial Services Design and implement AI-driven solutions for risk modelling, financial fraud detection, AI … gap assessments, compliance roadmaps, and incident response readiness programmes aligned to the EU Digital Operational Resilience Act (DORA). Advise financial institutions on resilience testing, regulatory reporting, and ICT risk management. Support the integration of operational resilience practices into business continuity, cyber security, and IT service management. Recognise the synergies for clients that are not mandated to DORA directly … their customers. Required Experience and Background: 5-8+ years' experience in Financial Services consulting or advisory roles. Strong understanding of AI applications in finance, particularly in fraud detection, credit risk, and regulatory compliance. Experience with AI governance frameworks, model risk management, and compliance standards. Knowledge of operational resilience frameworks, including DORA, PRA/FCA resilience requirements More ❯