Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections.
Design and run experiments to optimise approval rates, loss rates, and profitability.
Partner with product squads to embed decision logic into real-time systems.
Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access payments, banking, credit, and business management tools. As Nigeria's largest merchant acquirer, it processes over $250 billion in annual transaction value, with a culture that prioritizes people and values every voice.
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.
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.
Own credit performance for Tilt's cash advance product in Mexico, setting policy and balancing growth and profitability.
Maintain unit economics models, run lifecycle experiments, and monitor portfolio risk metrics.
Partner with Data Science and cross-functional teams to turn model releases into policy and results.
Tilt is a fintech company that uses machine learning and over 250 real-time financial signals to offer credit products beyond traditional credit scores. With millions of customers worldwide, Tilt operates as a virtual-first team across 14 countries, valuing impact, collaboration, and mutual respect.
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 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.
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 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.
Shape machine learning strategy and governance across credit, fraud, marketing, and growth at Dave.
Build and improve credit models by balancing portfolio performance, profitability, and member outcomes.
Mentor scientists and advance responsible modeling with Legal, Compliance, and Risk partners.
Dave is a financial app building affordable, transparent financial products for Americans living paycheck to paycheck. It is a virtual-first fintech company with a member-centric, collaborative culture focused on leveling the financial playing field.
Own and identify innovative strategies across the revenue waterfall to grow and recover revenue, backed by data insights from testing, simulations, and ML models.
Build talk tracks and narratives for client-facing teams to continuously optimize and grow existing partnerships.
Influence the product roadmap by testing optimization ideas and partnering with Product and Engineering to turn them into features.
Extend is revolutionizing the post-purchase experience for retailers by providing AI-driven solutions for customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners and is backed by prominent tech investors, with a collaborative and supportive remote-first culture.
Lead the Credit Risk Engineering team, setting technical direction and mentoring engineers.
Design, build, and operate backend services and APIs that integrate risk capabilities into Kiwi's lending products.
Partner with Credit Risk and Data Science to improve MLOps practices and the reliability of credit decision flows.
Kiwi Financial is a financial technology company that builds lending products with integrated credit risk capabilities. The company fosters a collaborative, multidisciplinary engineering culture with high technical ownership and an AI-forward environment.
Build and maintain the marketing data layer, developing pipelines and dimensional models for report-ready analytics.
Extend BI data models with metadata and business context to power AI agents and natural language analytics interfaces.
Drive AI quality assurance, predictive analysis, and cross-functional collaboration to ensure reliable, governed data insights.
At Wellhub, we're revolutionizing workplace wellness by connecting employees worldwide to fitness, mindfulness, therapy, nutrition, and sleep partners in one subscription. Headquartered in NYC with a global team across Europe, North America, and South America, we value wellbeing, collaboration, and diverse perspectives.
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.
Own credit and fraud strategy across the customer lifecycle to maximize risk-adjusted returns.
Lead and develop a high-performing credit and fraud team while partnering with executives and capital partners.
Drive disciplined test-and-learn initiatives, portfolio monitoring, and regulatory compliance to support profitable growth.
Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions. With more than $6.5 billion in loans originated and a 100% fully distributed remote team, Happy Money brings together purpose-driven professionals focused on making a real impact.
Oversee credit portfolio performance, monitor losses, and optimize profitability.
Evaluate high-value merchant credit facilities at scale and automate monitoring.
Use SQL/Python for hands-on data analysis and present insights to stakeholders.
This is a mission-driven fintech focused on expanding access to innovative financial solutions for small and medium-sized businesses in Latin America. The company operates in a fast-paced, international environment with a startup-style culture that values ownership, autonomy, and collaboration.
Lead strategic fraud-prevention initiatives focused on onboarding, KYC, and customer registration.
Develop and optimize antifraud strategies, rules, and controls to balance security, conversion, and customer experience.
Analyze fraud patterns and large-scale data to generate actionable insights for business and risk decisions.
This partner company operates in the security and IT sector, specializing in fraud prevention and identity verification. Its team is remote, collaborative, and dynamic, with a focus on innovation and growth.
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.
Develop analytical solutions using Python, SQL, and ML for workforce management.
Work with HR and timekeeping data to detect patterns and anomalies.
Collaborate with IT and business stakeholders on AI-driven initiatives.
The company leverages data science and AI to improve workforce management and operational efficiency. It offers a fully remote, innovation-focused environment and is open to people with disabilities.
Own the ML infrastructure end-to-end, from pipelines to production.
Build data products from internal signals like conversion and expansion.
Cross team boundaries, shipping in engineering's repos and driving cross-team work.
Clerk solves the user identity layer for developers, providing full-stack React components and hooks for authentication and user management. A globally distributed, deliberately small and senior team focused on building best-in-class developer infrastructure for AI software.
Design, build, and maintain scalable real-time ML services for ranking and personalization.
Analyze user behavior and run A/B tests to improve product discovery and engagement.
Collaborate with engineers, data specialists, and business stakeholders to drive measurable outcomes.
The company is an AI-driven e-commerce platform that uses machine learning to power smarter search, discovery, and shopping experiences. It maintains a collaborative, remote-first culture that values ownership, inclusion, and meaningful impact.