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, creditriskmodelling, 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, creditriskmodelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling More ❯
Risk Analytics – Counterparty CreditRisk Quantitative Analyst Quantitative specialist for developing and managing analytics for counterparty creditrisk 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 creditrisk management. Responsibilities • Develop and implement analytics for counterparty creditrisk management. • Build infrastructure to consolidate counterparty creditrisk 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 CreditRisk Quantitative Analyst Quantitative specialist for developing and managing analytics for counterparty creditrisk 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 creditrisk management. Responsibilities • Develop and implement analytics for counterparty creditrisk management. • Build infrastructure to consolidate counterparty creditrisk 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 CreditRisk Quantitative Analyst Quantitative specialist for developing and managing analytics for counterparty creditrisk 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 creditrisk management. Responsibilities • Develop and implement analytics for counterparty creditrisk management. • Build infrastructure to consolidate counterparty creditrisk 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 ❯
CreditRisk Manager (Data) Opportunity for a CreditRisk 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 creditrisk 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. CREDITRISK MANAGER – ESSENTIAL SKILLS Proven financial industry experience Minimum More ❯
Kent, England, United Kingdom Hybrid / WFH Options
Eden Smith Group
Are you looking to leave your starter jobs and progress your career in CreditRisk & 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 CreditRisk Analyst/Data Scientist to join a collaborative and innovative team that is shaping the future of creditriskmodelling 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 ❯
Gillingham, England, United Kingdom Hybrid / WFH Options
Eden Smith Group
Are you looking to leave your starter jobs and progress your career in CreditRisk & 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 CreditRisk Analyst/Data Scientist to join a collaborative and innovative team that is shaping the future of creditriskmodelling 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 ❯
Head of Risk Analytics - Quantitative Finance, Counterparty CreditRisk, 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 CreditRisk (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 CreditRisk 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 ❯
The Risk IT division manages and mitigates risks within financial markets, focusing on Market Risk, CreditRisk, and Market Data. Market Risk involves assessing and managing risks due to adverse price movements. CreditRisk focuses on evaluating and mitigating risks from borrower defaults. Market Data ensures the accuracy and timeliness of data for … risk analysis and decision-making. Job Purpose: The Head of CreditRisk IT leads the development, implementation, and management of technology solutions for creditrisk management. This role oversees creditrisk models, ensures data integrity, and provides strategic direction to enhance creditrisk processes. Collaboration with cross-functional teams, compliance with … regulations, and driving innovation are key aspects of this role. Key Responsibilities: Strategic Leadership: o Develop and execute the CreditRisk IT technology strategy. o Provide visionary leadership and foster a culture of innovation. Technology Development and Implementation: o Oversee the design and implementation of creditrisk models and systems. o Integrate advanced analytics and machine More ❯
The Risk IT division manages and mitigates risks within financial markets, focusing on Market Risk, CreditRisk, and Market Data. Market Risk involves assessing and managing risks due to adverse price movements. CreditRisk focuses on evaluating and mitigating risks from borrower defaults. Market Data ensures the accuracy and timeliness of data for … risk analysis and decision-making. Job Purpose: The Head of CreditRisk IT leads the development, implementation, and management of technology solutions for creditrisk management. This role oversees creditrisk models, ensures data integrity, and provides strategic direction to enhance creditrisk processes. Collaboration with cross-functional teams, compliance with … regulations, and driving innovation are key aspects of this role. Key Responsibilities: Strategic Leadership: o Develop and execute the CreditRisk IT technology strategy. o Provide visionary leadership and foster a culture of innovation. Technology Development and Implementation: o Oversee the design and implementation of creditrisk models and systems. o Integrate advanced analytics and machine More ❯
Head of Quantitative Risk Analytics – Quantitative Finance, Counterparty CreditRisk, 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 CreditRisk (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 CreditRisk 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 ❯
Business Unit: Risk Analytics Centre of Excellence Salary range: £39,200 - £52,000 per annum DOE + red-hot benefits Location: UK Hybrid, attendance to London HUB 1x per week. Contract type : Permanent Our Team We have an exciting opportunity in our Credit Stress Testing Modelling team in Risk Analytics. The Climate Risk Stress Testing … business insight. What you’ll be doing Leading the development of the suite of climate stress testing models across Retail and Business portfolios, and across IRB and IFRS 9 modelling environments Supporting technical leads to independently implement changes to the SAS based Stress Testing Engines and associated analytical tools Focusing on continuous improvement through addressing of the Open Model … and implementation of the Climate Stress testing monitoring of the stress testing models Continually assess and identify SAS processes/code to promote simplification and automation, reducing any operational risk inherent in the current environment Close collaboration with creditriskmodelling, finance and business teams for obtaining insights and feedback for the management of the creditMore ❯
London, England, United Kingdom Hybrid / WFH Options
Virgin Money
Business Unit: Risk Analytics Centre of Excellence Salary range: £39,200 - £52,000 per annum DOE + red-hot benefits Location: UK Hybrid, attendance to London HUB 1x per week. Contract type : Permanent Our Team We have an exciting opportunity in our Credit Stress Testing Modelling team in Risk Analytics. The Climate Risk Stress Testing … business insight. What you’ll be doing Leading the development of the suite of climate stress testing models across Retail and Business portfolios, and across IRB and IFRS 9 modelling environments Supporting technical leads to independently implement changes to the SAS based Stress Testing Engines and associated analytical tools Focusing on continuous improvement through addressing of the Open Model … and implementation of the Climate Stress testing monitoring of the stress testing models Continually assess and identify SAS processes/code to promote simplification and automation, reducing any operational risk inherent in the current environment Close collaboration with creditriskmodelling, finance and business teams for obtaining insights and feedback for the management of the creditMore ❯
City of London, London, United Kingdom Hybrid / WFH Options
InterQuest Group
We're Hiring! | Quantitative Risk Analyst 🚨Up to £85,000 plus benefits and bonus 📍 Hybrid | 3 days in-office, London | Flexible working 🏦 Join a Leading CreditRiskModelling Team! NO RELOCATION/SPONSORSHIP AVAILABLE - HOWEVER OPEN TO VISA TRANSFER IF ALREADY IN THE UK. Are you ready to take your quantitative skills to the next level … in a high-impact, regulation-driven environment ? We're on the lookout for a passionate Quantitative Risk Analyst to help deliver the Internal Ratings Based (IRB) approach across retail and commercial lending portfolios. 💼📊 🧠 What You’ll Be Doing : ✅ Data analysis & model development for PD, LGD, and EAD ✅ Building scorecards & stress testing models ✅ Supporting IRB regulatory self-assessments ✅ Identifying data … problem-solving skills 🗣️ Excellent communication & report-writing abilities 🤝 A proactive team player ready to make an impact 🎯 Why Join? Work at the forefront of regulatory transformation Collaborate with experienced risk professionals Play a key role in shaping data-driven decision-making Hybrid working & supportive environment 📩 Ready to elevate your risk career? Apply now or message us to learn More ❯
We're Hiring! | Quantitative Risk Analyst 🚨Up to £85,000 plus benefits and bonus 📍 Hybrid | 3 days in-office, London | Flexible working 🏦 Join a Leading CreditRiskModelling Team! NO RELOCATION/SPONSORSHIP AVAILABLE - HOWEVER OPEN TO VISA TRANSFER IF ALREADY IN THE UK. Are you ready to take your quantitative skills to the next level … in a high-impact, regulation-driven environment ? We're on the lookout for a passionate Quantitative Risk Analyst to help deliver the Internal Ratings Based (IRB) approach across retail and commercial lending portfolios. 💼📊 🧠 What You’ll Be Doing : ✅ Data analysis & model development for PD, LGD, and EAD ✅ Building scorecards & stress testing models ✅ Supporting IRB regulatory self-assessments ✅ Identifying data … problem-solving skills 🗣️ Excellent communication & report-writing abilities 🤝 A proactive team player ready to make an impact 🎯 Why Join? Work at the forefront of regulatory transformation Collaborate with experienced risk professionals Play a key role in shaping data-driven decision-making Hybrid working & supportive environment 📩 Ready to elevate your risk career? Apply now or message us to learn More ❯
Lead CreditRiskModelling 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 CreditRisk projects and initiatives as required. This role would suit somebody from a modelling background … with relevant experience of other aspects of CreditRisk . Key Responsibilities: Own a suite of CreditRisk 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 CreditRisk reporting - this includes the production of monthly reporting for CreditRisk 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 CreditRisk on cross-team projects. Stakeholder management - you must be able to engage More ❯
Lead CreditRiskModelling 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 CreditRisk projects and initiatives as required. This role would suit somebody from a modelling background … with relevant experience of other aspects of CreditRisk . Key Responsibilities: Own a suite of CreditRisk 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 CreditRisk reporting - this includes the production of monthly reporting for CreditRisk 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 CreditRisk on cross-team projects. Stakeholder management - you must be able to engage More ❯
London (2 days on-site) Salary: £60,000 - £80,000 + benefits About Us Our client is a fast-growing FinTech startup redefining how mid-sized enterprises manage liquidity, credit, and cross-border finance. Since 2020, they’ve grown to a 60-person team across the UK, closed our Series B, and are backed by top-tier investors including … and that’s where you come in. We’re now looking for a Machine Learning Engineer who’s ready to take ownership of production-level models that directly impact risk, underwriting, and transaction workflows. What You’ll Do: Design, build, and deploy ML models for real-time creditrisk scoring, fraud detection, and dynamic pricing Architect and … XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., MLflow, Airflow, Weights & Biases, or Kubeflow) Experience working with structured data (credit, payments, customer behaviour) and applying feature engineering at scale Understanding of model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP More ❯
London (2 days on-site) Salary: £60,000 - £80,000 + benefits About Us Our client is a fast-growing FinTech startup redefining how mid-sized enterprises manage liquidity, credit, and cross-border finance. Since 2020, they’ve grown to a 60-person team across the UK, closed our Series B, and are backed by top-tier investors including … and that’s where you come in. We’re now looking for a Machine Learning Engineer who’s ready to take ownership of production-level models that directly impact risk, underwriting, and transaction workflows. What You’ll Do: Design, build, and deploy ML models for real-time creditrisk scoring, fraud detection, and dynamic pricing Architect and … XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., MLflow, Airflow, Weights & Biases, or Kubeflow) Experience working with structured data (credit, payments, customer behaviour) and applying feature engineering at scale Understanding of model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP 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 creditrisk 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 ❯
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 creditrisk 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 ❯
Data Scientist/Senior Data Scientist - CreditRisk 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 creditrisk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance 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 non linear modelling. Strong educational background from More ❯
Data Scientist/Senior Data Scientist - CreditRisk 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 creditrisk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance 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 non linear modelling. Strong educational background from 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 creditrisk 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 ❯