Own and clean the data foundation: integrate external credit, bank, and tax data with engineering.
Develop underwriting criteria, credit limits, and portfolio monitoring using SQL and Python.
Build dashboards, early-warning signals, and collection insights to reduce losses.
Jeeves is a stablecoin-native banking platform for global enterprises offering cards, payments, and treasury. With thousands of customers across 35 countries and $400M+ funding, it's a high-growth, relentless culture.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Analyze large, diverse datasets on business cash flow, credit, and repayment to identify product opportunities.
Partner with product and engineering to develop and commercialize data products and predictive models.
Lead Ocrolus’ analytics and data science efforts as a subject matter expert on SMB credit and mentoring.
Ocrolus is an AI platform for lenders, automating workflows with over 99% accuracy on nearly one million monthly credit applications. Trusted by 400+ customers, it is a remote-first team of builders and problem solvers.
Lead integration of external data sources and consent cleanup for reliable credit analytics
Use SQL, Python, and statistical models to shape credit policy and portfolio monitoring
Partner with cross-functional teams to improve credit decisions and early-warning signals
Jeeves provides corporate cards, cross-border payments, and spend management software for global businesses. Operating in 20+ countries with over 5,000 clients, it is a high-growth fintech backed by top investors like Andreessen Horowitz and Y Combinator.
Apply expertise in quantitative analysis and data mining to understand user interactions and inform product strategy.
Guide product teams to measure what matters and run A/B experiments for continuous improvement.
Partner with finance to build a unified understanding of user lifetime value and product profitability.
Monzo is a digital bank on a mission to make money work for everyone, offering bank accounts, savings, investments, and pensions. With over 4.5 million UK customers and rapid growth, Monzo has an inclusive, data-driven culture that values customer delight and employee empowerment.
Develop, deploy, and maintain predictive models for LTV, churn, and retention across mobile and web products.
Own the modeling roadmap from problem framing to production, including segmentation, propensity models, and experimentation.
Apply LLMs and machine learning to classify behavioral signals and build AI-powered analytics tools.
GoFasti is a Talent-as-a-Service company bridging world-class LatAm developers and designers with global companies. It values remote work, continuous learning, and strong communication in its talent.
Analyze complex credit data to uncover insights and trends that inform lending product decisions.
Monitor and optimize credit risk KPIs to balance growth and risk mitigation.
Collaborate with product teams and present actionable recommendations to senior management.
Tide helps SMEs save time and money with business banking and administrative solutions. With over 2 million members and 3,000 employees, it's a Great Place to Work-certified fintech.
Own policy optimization for member credit limits, balancing retention, churn, and risk exposure.
Design, run, and evaluate policy experiments and A/B tests, translating results into concrete policy changes.
Own forecasting and reporting infrastructure that keeps risk and portfolio performance visible to stakeholders.
EarnIn builds products that deliver real-time financial flexibility for people living paycheck to paycheck, pioneering earned wage access. It has a fast-growing, diverse culture with an experienced leadership team and backing from top investors like A16Z.
Lead, coach, and grow a team of Credit Risk Analysts, owning credit risk operations end-to-end.
Build AI-native credit risk frameworks and partner with Data Science and Risk Analytics on models.
Work cross-functionally to embed credit risk policies into fintech products and automate processes.
Jobber provides technology for small home service businesses to quote, schedule, invoice, and collect payments. With a culture of transparency and collaboration, the company has been recognized by Great Place to Work and Deloitte Canada.
Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.
Provide ongoing oversight of credit risk across lending products and develop monitoring metrics.
Partner with first line teams to support credit strategy changes and new product launches.
Deliver deep insight and challenge on credit strategies using data-driven analysis and build strong stakeholder relationships.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, and credit cards. With a collaborative culture and a focus on diversity and inclusion, Monzo has grown significantly in the UK over the past 10 years.
Lead data strategy for a large domain, connecting customer and commercial goals to high-impact Data Science work.
Identify and frame ambiguous, strategically important problems where the path is unclear.
Partner with senior leaders, set best practices for experimentation and causal inference, and coach data scientists.
Monzo is a digital bank on a mission to make money work for everyone, offering current accounts, savings, investments, and pensions in the UK. They have over 11 million customers and a strong culture of data-driven decision making, with 80% of growth from word of mouth.
Own the underwriting operating model for Engine's corporate card, including credit standards, backtest infrastructure, and portfolio analytics.
Lead and develop the credit team, holding them accountable to underwriting standards and driving automation of credit decisioning.
Partner with Data Science and senior leadership on credit policy governance, model inputs, and fraud coordination.
Engine is an AI-native platform for intelligent travel, serving 38,000+ customers and 2 million travelers. It's a Fast Company and Built In top workplace, offering an ambitious, high-ownership culture.