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.
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.
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.
Build and deploy production machine learning models and pipelines end-to-end.
Lead technical innovation across the data science organization.
Develop financial models using alternative data sources.
Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions.
The Senior Data Scientist will solve meaningful problems, collaborate across teams, and turn complex data into clear, actionable insights. They will work at the intersection of data, product, and engineering to uncover insights, guide strategic decisions, and develop models that enhance user experience and business outcomes. They will design and deliver end-to-end data science solutions that support product innovation and business strategy.
Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.
Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. Founded in 2017, HALA has a diverse culture that encourages innovation and flexibility.
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.
Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud.
Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability.
Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data.
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 and corporate headquarters are in Dublin, Ireland.
Provide ongoing oversight of credit risk by analyzing lending product performance.
Partner with first line of defense teams to support credit strategy changes and new product launches.
Deliver insights and independent challenge on credit strategies, optimizing decision-making for customers.
Monzo is on a mission to make money work for everyone, waving goodbye to the complicated ways of traditional banking and solving problems rather than selling products.
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.
Partner with stakeholders to translate business challenges into data science problems.
Own the end-to-end lifecycle of data science models, from data exploration to deployment.
Develop scalable and efficient models, balancing algorithmic complexity with business needs.
Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
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.
Develop verification strategies for loan products to optimize profitability and improve revenue.
Build new decisioning infrastructure leveraging external and internal data for consumer lending programs.
Analyze credit strategies performance and credit score effectiveness, MIS, and performance trends.
Best Egg is a tech-enabled financial platform focused on helping people build financial confidence through lending solutions and financial health tools. They foster an inclusive, flexible, and fun workplace with open communication and teamwork.
Work closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods. Design, prototype, and test new products and data solutions. Develop scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources.
Wpromote builds better, more inclusive work environment and supports its people at every stage of their careers by prioritizing a strong work-life balance.
Set the vision for how product data science drives growth, especially in acquisition and activation funnels.
Refine and align on our metric tree, ensuring focus on the right measures of success.
Manage and develop a team of data scientists, including performance reviews and growth paths.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it.
Lead the vision, strategy, and execution for the company’s data products and platform capabilities.
Oversee multiple product teams and partner closely with engineering, analytics, design, and business stakeholders to build a scalable, trusted, and innovative data ecosystem.
Define the strategic direction for all data products—including data infrastructure, governance, machine learning enablement, and data-driven consumer experiences.
NerdWallet is on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds.