Senior Data Scientist, RC Capital

Requirements:

• You have 5+ years of data science experience, ideally in fintech, credit, lending, or payments
• You have deep expertise in fraud and/or underwriting
• You're highly analytical and technical, proficient in SQL and Python
• You understand mobile apps or developer ecosystems
• You act like an owner and thrive in ambiguity
• You're a systems thinker and know when it's good enough

What you'll be doing:

• Own the Data Science strategy for RC Capital
• Develop sophisticated models for lead qualification, anomaly detection, fraud prevention, and credit underwriting
• Partner closely with Product and Engineering to integrate risk signals into customer-facing flows
• Analyze cross-platform revenue data to improve underwriting models and product design
• Build mechanisms for measuring impact and driving new data initiatives
• Operate with high ownership in a fast-moving environment

What success looks like:

• In the first month, you'll be familiar with Daily Payouts and the underwriting/fraud approach
• Within the first 3 months, you'll have a fraud detection model in production
• Within the first 6 months, you'll own the underwriting and fraud detection systems
• Within the first 12 months, you'll lead new Data initiatives and shape Data Science within Capital

Perks and Benefits:

• Competitive equity in a fast-growing, Series C startup
• 10-year window to exercise vested equity options
• Fully remote and flexible work environment
• 4-5 weeks of suggested time off annually
• $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning