Lead the development, implementation, and optimization of credit strategies across our portfolio of unsecured personal loan products.
Own the full lifecycle of credit decisioning, including policy creation, pricing frameworks, testing strategy, and performance monitoring.
Build and maintain a best-in-class credit strategy while working closely with Fraud Strategy, Decision Sciences, Engineering, Compliance, and partner banks.
BMG Money's mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses.
Improving portfolio health by engaging customers in financial difficulty.
Designing and monitoring impact assessment and forecasting models.
Developing and maintaining credit models for strategic business decisions.
Monzo is on a mission to make money work for everyone, waving goodbye to complicated traditional banking. They offer personal and business bank accounts, joint accounts, and credit cards, solving problems and changing lives.
This role requires an entrepreneurial mindset, strong analytical expertise, and a passion for delivering innovative solutions. The ideal candidate will combine deep risk management knowledge with advanced data modeling skills to optimize automated decisioning, monitor risk, and drive business growth within the company’s risk appetite. The position is bonus eligible based on association and personal performance.
American AgCredit offers a unique opportunity to be a part of a national financial system supporting those who feed, clothe and fuel the world.
This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling, and production credit model deployment. You’ll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle. You’ll build the analytics and modelling foundations that inform underwriting, customer acquisition, retention, and portfolio performance at scale.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets.
Be the day‑to‑day analytics partner for clients on credit strategy, risk optimization, and portfolio performance.
Translate client goals into clear analytical questions, project plans, and structured workflows.
Use Python and SQL to explore data, validate hypotheses, and support analytical workflows developed by Data Science teams.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries.
Leverage advanced data analytics to derive insights and optimise credit strategies across products and geographies.
Partner with Engineering to design and build scalable risk models and credit risk capabilities.
Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements across jurisdictions, and translate them into credit policy, underwriting, and product design recommendations.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a fast-growing FinTech company committed to redefining responsible consumer lending.
Building, maintaining and enhancing credit risk models for lending portfolios.
Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring.
Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance and provide insight into model deviations.
Achieve is a digital personal finance company that provides personalized financial solutions. They leverage data and analytics to offer personal loans, home equity loans, debt consolidation, and financial tools. They have over 3,000 employees and a strong people-first culture.