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r sql python sas📋 Description
- Lead analytics across merchant risk lifecycle (onboarding, KYB/KYC, monitoring)
- Build and maintain queries, dashboards, alerts for fraud patterns
- Investigate high-risk merchant activity and fraud schemes
- Translate findings into actionable risk and merchant experience improvements
- Measure impact of risk rules and experiments on outcomes
- Partner with Data Science, Data Engineering, and vendors to evaluate signals
🎯 Requirements
- Bachelor's degree in a quantitative field or equivalent practical experience
- 5+ years in fraud, merchant risk, payments risk, or analytics
- Strong SQL; Python, R, or SAS for analysis
- Experience with risk models, ML outputs, or rules-based strategies
- Familiarity with KYB/KYC onboarding, identity verification, sanctions screening
- Experience collaborating with Data Science and Data Engineering teams
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