cater for their immediate needs (fairer, cheaper prices), we also go above and beyond to make them feel seen and heard in everything we do. Open roles Head of CreditRisk Pricing Location London Type Full time Department New Products Car Finance About Marshmallow We started Marshmallow when we found out how unfair insurance prices are for people … who need it most. What you'll be doing: Designing, developing, and deploying innovative new pricing and underwriting models to price new to country migrants. Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale. Being a champion of data and solidifying data-driven processes within the team. Building a team … unblock yourself to drive you and your team forward. You can be very hands-on. Working in a new vertical means that you'll be working as the sole creditrisk analyst initially. You're a strong communicator and facilitator. You are deeply challenging. You're a pioneer. This isn't for you if: You need top-down More ❯
fairer, cheaper prices), we also go above and beyond to make them feel seen and heard in everything we do. About the Role We're looking for a Lead Risk Pricing Data Scientist who will lead the development of our creditrisk and pricing systems. This is a unique opportunity to shape a new system from the … ground up, unencumbered by legacy systems or constraints. The Lead Risk Pricing Data Scientist will be a hands-on builder and help us develop a team over time. They will be part of a small team of engineers and product people, working independently from the wider business. This role requires autonomy, drive, curiosity and collaboration. What you'll be … doing: Designing, developing, and deploying innovative new pricing and underwriting models to price new to country migrants. Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale. Being a champion of data and solidifying data-driven processes within the team. Building a team of analysts and data scientists as we scale More ❯
Job Title: Machine Learning Engineer Finance Location: London (2 days on-site) Our client is a fast-growing FinTech startup redefining how mid-sized enterprises manage liquidity, credit, and cross-border finance. 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. Design, build, and deploy ML models for real-time creditrisk scoring, fraud detection, and dynamic pricing Architect and implement end-to-end ML pipelines (from data ingestion and feature engineering to monitoring and retraining) Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform Own model evaluation … like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., 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 ❯
an excellent opportunity to join the Models Audit team, part of Group Audit. You will work within a leading audit function and gain exposure to a wide range of riskmodelling, capital assessment and actuarial techniques across our insurance and banking businesses. As an Audit Manager you will lead the delivery of high-quality risk-based audits … FIA/FFA) or A degree in Mathematics, Statistics or any other highly numerate subject Specialist Actuarial experience in areas such as reserving, pricing, stress testing, capital and insurance riskmodelling or Modelling experience (development or validation) in key areas such as creditrisk (IRB, IFRS 9), market risk or counterparty creditrisk models. The ability to deliver risk and control assurance activity that is timely, impactful, insightful and valued by stakeholders. The ability to understand and interpret Group and Business Unit Strategy and connect audit delivery and business monitoring insights to such strategies at the Macro level. The ability to analyse, understand and communicate data as information, and to use More ❯
Senior CreditRisk Systems Analyst- Decisioning 9 Month Contract Key Responsibilities: Build and maintain leading automated decisioning tools and creditrisk models. Test and document all decisioning system changes, ensuring a high standard of test practices are implemented and adhered to. Identification and investigation including data analysis required to support change or incident management. Support delivery … of automated decision operational procedures required dependent on outcome of the automated decision. Ensure all creditrisk policies and strategies are clearly documented and maintained Work with stakeholders across the business, as well as external suppliers, to define business change requirements and provide challenge where necessary Key Requirements: Previous experience working in a decisioning background and maintaining a More ❯
Senior CreditRisk Systems Analyst- Decisioning 9 Month Contract Key Responsibilities: Build and maintain leading automated decisioning tools and creditrisk models. Test and document all decisioning system changes, ensuring a high standard of test practices are implemented and adhered to. Identification and investigation including data analysis required to support change or incident management. Support delivery … of automated decision operational procedures required dependent on outcome of the automated decision. Ensure all creditrisk policies and strategies are clearly documented and maintained Work with stakeholders across the business, as well as external suppliers, to define business change requirements and provide challenge where necessary Key Requirements: Previous experience working in a decisioning background and maintaining a More ❯
Senior Credit Strategy Analyst £65,000-£80,000 + 15%-22.5% bonus Skills required: Excel, SQL Location: London, 3 days a week in the office Leading business lending platform We are partnered with one of the UK's leading business lending platforms that connect small businesses with investors using innovative technology. They are seeking a Senior Credit Strategy Analyst to join the CreditRisk team and play a key role in enhancing the overall lending process. The role You will collaborate with creditriskmodelling, engineering, data management, capital markets, and business operations teams to understand business objectives and develop analytical solutions. Key responsibilities include Developing new credit strategies with … and evaluate the success of these strategies. Converting complex analyses into clear insights and recommendations. Conducting statistical analysis, forecasting, and data mining to inform strategic decisions. Innovating in the credit space. Building and maintaining relationships with internal and external stakeholders. Ideal candidate profile 2-3+ years of experience in creditrisk analytics, preferably in SME or 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 creditrisk 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 ❯
role, you’ll be leading a talented team of analysts to validate a range of models across the business, including ML, AI, IFRS9, and Forecasting. You’ll be leading Risk Assurance reviews and presenting high-level validation insights to senior leadership. THE COMPANY This Fintech is well known for its data-driven approach to both consumer and SME finance … from more traditional models like IFRS9 and Forecasting, to AI and ML models. Engage with model owners and developers to ensure validation findings are accurate and understood Lead the Risk Assurance reviews and produce committee papers to present to senior stakeholders YOUR SKILLS AND EXPERIENCE Strong experience in the CreditRisk Model Validation space AI Model knowledge More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
role, you’ll be leading a talented team of analysts to validate a range of models across the business, including ML, AI, IFRS9, and Forecasting. You’ll be leading Risk Assurance reviews and presenting high-level validation insights to senior leadership. THE COMPANY This Fintech is well known for its data-driven approach to both consumer and SME finance … from more traditional models like IFRS9 and Forecasting, to AI and ML models. Engage with model owners and developers to ensure validation findings are accurate and understood Lead the Risk Assurance reviews and produce committee papers to present to senior stakeholders YOUR SKILLS AND EXPERIENCE Strong experience in the CreditRisk Model Validation space AI Model knowledge More ❯
staff and report to the Chief Product Officer. The CEO is a former Data Scientist, providing opportunities for knowledge exchange! The Head of Data Science will work on: Creditrisk models: Collaborate with the Chief Risk Officer to develop advanced machine learning models. Affordability models: Utilize bureau and open banking data to create transaction classification models and More ❯
Our client is on a mission to help fintechs and banks automate and enhance due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and creditrisk models that protect billions in transactions at top European fintechs … our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and are looking for More ❯
About the Company: Our client is on a mission to help fintechs and banks automate and enhance due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and creditrisk models that protect billions in transactions at … top European fintechs, our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and More ❯
About the Company: Our client is on a mission to help fintechs and banks automate and enhance due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and creditrisk models that protect billions in transactions at … top European fintechs, our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and More ❯
About the Company: Our client is on a mission to help fintechs and banks automate and enhance due diligence operations using AI agents, to streamline and strengthen the risk investigations carried out during business customer onboarding and ongoing monitoring. Backed by founders with deep experience building fraud and creditrisk models that protect billions in transactions at … top European fintechs, our client is revolutionising the way financial institutions verify the legitimacy of businesses. By leveraging advanced AI-driven risk assessment, they transform unstructured data into powerful, actionable insights, automating manual reviews, enhancing fraud detection, and improving the onboarding experience for legitimate businesses. Already partnering with leading fintech unicorns and major banks, they are growing rapidly and More ❯
Director of CreditRisk Analytics & Decision Science InterQuest Posted 6 days ago Director of CreditRisk Analytics & Decision Science - up to £185k - London I am currently partnered with a consumer lending FinTech on a Director of CreditRisk Analytics & Decision Science opportunity. The role will primarily involve work across Credit Strategy, Portfolio Analytics … and Model Development (including advanced creditrisk models combining traditional methods with machine learning). The role also provides the incoming Director an opportunity to upskill and build out a function of 10-15 Analysts, Data Scientists and Managers. Minimum Requirements: Must have UK lending experience. For more information about this role, please contact More ❯
Product Owner - CreditRisk Stress Testing - 12 month FTC (strong likelihood of extension) - £100/110k SoCode are delighted to be partnering with a business at the forefront of software innovation and digital transformation, their client - a Tier 1 Bank are on the lookout for an exceptional Product Owner with direct CreditRisk Stress Testing experience. … business and a cross-functional technology team. Domain expertise is absolutely essential for this role as candidates will have to demonstrate a clear understanding at interview stage experience in CreditRisk Stress Testing and Risk Methodologies for PD (Probability of Default), LGD (Loss Given Default) and RWA (Risk Weighted Assets) Calculations. What are the key responsibilities … scrum team - owning the backlog and prioritising features in collaboration with stakeholders. Perform business analysis and write clear, structured user stories and acceptance criteria. Interpret complex requirements from the creditrisk and stress testing business units. Liaise with creditrisk model team and interpret requirements covering modelling and data Engage in Agile ceremonies and contribute More ❯
About us At Diligent, we are on a mission to help fintechs and banks catch fraudulent businesses. We build LLM agents to automate risk investigations during business onboarding and monitoring. For example, we can help investigate the online presence of businesses to detect high-risk activities, identify reputation-compromising signals, comb through news articles to extract new risk insights etc. By turning scattered and unstructured data points into structured, actionable insights, we enable risk teams to make better and faster decisions. Our founders have built fraud and creditrisk models protecting billions in transactions at Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify the legitimacy of More ❯
About us At Diligent, we are on a mission to help fintechs and banks catch fraudulent businesses. We build LLM agents to automate risk investigations during business onboarding and monitoring. For example, we can help investigate the online presence of businesses to detect high-risk activities, identify reputation-compromising signals, comb through news articles to extract new risk insights etc. By turning scattered and unstructured data points into structured, actionable insights, we enable risk teams to make better and faster decisions. Our founders have built fraud and creditrisk models protecting billions in transactions at Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify the legitimacy of More ❯