Rain
Data Scientist - Fraud Risk
$190K–$230K
New York, NY +1 · On-site · Full-time · Posted Jul 31, 2026
- Location
- New York, NY
Remote - Experience
- 3+ years hands-on experience; no alternatives stated.
- Education
- Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.).
About the job
Develop and operate fraud-risk monitoring, analytics, and real-time controls using predictive ML models, balancing fraud losses with customer experience and business outcomes.
What you'll do
- Own fraud metrics, dashboards, reports, real-time monitoring, and alerting thresholds.
- Design, simulate, and implement real-time risk controls using predictive ML models; balance loss savings, user friction, and margin.
- Explain risk-control value to customers and stakeholders, and assist partners with fraud concerns.
What they ask for
- Advanced proficiency in SQL and Python.
- 3+ years of hands-on experience with automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models.
- Experience designing, building, and maintaining dashboards and fraud risk metrics.
- Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.).
Nice to have
- Experience at a high-growth fintech or financial services company; customer-facing or GTM-facing analytics or fraud issue triaging.
- Background in identity risk, AML, payments fraud, or compliance analytics; fluency in AI-assisted data analysis / data science tooling.
Pay
$190K – $230K USD base salary; equity and bonus offered, amounts not stated.
Tools
SQL, Python
AI focus
Implement real-time and offline predictive ML models for fraud risk controls; AI-assisted data analysis / data science tooling is a preferred qualification.
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