Related skills
sql risk python pandas numpy📋 Description
- Design automation in in-house rule engines for regulatory compliance
- Translate regulatory requirements into actionable recommendations
- Develop detection policies and decisioning frameworks to be legally defensible
- Proactively identify opportunities to improve risk automation via modeling and data analysis
- Collaborate with ML teams on model evaluation and governance
- Ensure high-quality documentation, monitoring, and validation of risk actions
🎯 Requirements
- Advanced degree in quantitative field (Data Science/Statistics)
- 5+ years in applied analytics in risk, compliance, or fraud
- Experience designing, implementing, and monitoring decisioning frameworks
- Strong SQL and Python (NumPy, Pandas, Sklearn); stats and A/B
- Proficiency defining and monitoring performance metrics with stakeholders
- Understanding regulatory compliance and balancing business with legal
🎁 Benefits
- Zone A pay range: $163,600-$245,400 USD
- Zone B pay range: $155,400-$233,200 USD
- Zone C pay range: $147,300-$220,900 USD
- Zone D pay range: $139,000-$208,600 USD
- Remote work: US-based, work from anywhere
- Health insurance, flexible time off, retirement plans
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