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RainRainNew York, NY

Data Scientist

Data Scientist on the fraud risk team building real-time monitoring, predictive ML models, and risk controls for payments and stablecoins. Requires 3+ years in automated fraud strategies, advanced SQL/Python, and quantitative degree.

50k – 1000k/yr
Hybrid3+ YOEData Science

About the role

What you’ll do

  • Own the metrics, dashboards, and reports that inform business strategy and decision-making
  • Design and implement real-time monitoring systems for fraud signals and alerting thresholds
  • Design, simulate, and implement real-time risk controls using real-time and offline predictive ML models
  • Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement
  • Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers
  • Effectively summarize complex analytical results to leadership and non-technical stakeholders
  • Assist partners when they have fraud concerns with their traffic

What we're looking for

  • Advanced proficiency in SQL and Python
  • 3+ years hands-on experience working on automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models
  • Skilled in designing, building, and maintaining dashboards and fraud risk metrics
  • The ability to manage ambiguous problems and find solutions
  • High autonomy, including the ability to prioritize your workload effectively
  • Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.)

Nice to have, but not mandatory

  • Experience at a high-growth fintech company or financial services company
  • Exposure to 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

Skills

SQLPythonMachine LearningA/B TestingDashboardsfraud risk strategiespredictive modelingData Analysis

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