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fintech sql python data science fraud detection📋 Description
- Own the Data Science strategy for RC Capital.
- Build underwriting and fraud detection foundations.
- Develop models for lead qualification and anomaly detection.
- Partner with Product and Engineering to integrate risk signals.
- Analyze cross-platform revenue data for underwriting insights.
- Measure impact and prioritization of data initiatives.
🎯 Requirements
- 5+ years of data science experience, fintech preferred.
- Deep expertise in fraud and/or underwriting.
- SQL and Python expert; build, deploy, and monitor models.
- Experience with mobile apps or developer ecosystems.
- Ownership mindset; treat RevenueCat as your own.
- Thrives in ambiguity; decisive, fast execution.
🎁 Benefits
- Competitive equity in a Series C startup.
- 10-year window to exercise vested equity options.
- Fully remote and flexible work environment.
- 4-5 weeks of time off annually.
- $2,000 USD workspace setup and $1,000 USD annual learning stipend.
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