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Über
Own the Data Science strategy for RC Capital and build the foundation for our underwriting and fraud detection systems. Develop sophisticated models for lead qualification, anomaly detection, fraud prevention, and credit underwriting. Partner closely with Product and Engineering teams to integrate risk signals and underwriting logic into customer-facing flows. Analyze cross-platform revenue data to uncover insights that improve underwriting models and product design. Build mechanisms for measuring impact and evaluating model performance. Operate with high ownership in a fast-moving environment, helping to define the long-term vision for financial products. Requirements:
5+ years of data science experience, ideally with a strong background in fintech, credit, lending, or payments. Deep expertise in fraud and/or underwriting. Highly analytical and technical; expert in SQL and Python. Ability to build, deploy, and monitor models in production. Understanding of mobile apps or developer ecosystems, or eagerness to learn this space. Ability to treat RevenueCat's balance sheet, product, and brand like it's your own. Ability to thrive in ambiguity and make decisions in low-information, high-stakes environments. Can think systemically and look for opportunities to automate and build scalable solutions. Know when it's good enough; balance detail, speed, and ambition without losing sight of impact. Benefits:
Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator 10-year window to exercise vested equity options Fully remote and flexible work environment 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning
Sprachkenntnisse
- English
Hinweis für Nutzer
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