Related skills
risk management fintech python machine learning statistics📋 Description
- Designing structured AI reasoning frameworks translating policy into production decision logic.
- Defining multi-layer decision hierarchies across underwriting, fraud, pricing, and routing.
- Establishing output standards for interpretable AI recommendations.
- Designing confidence scoring and routing thresholds for AI decisions.
- Optimizing risk, approval rate, speed to decision, unit economics, and capacity.
- Analyzing overrides and feedback to refine decision logic.
🎯 Requirements
- 8+ years in applied data science with 3+ on AI-enabled product systems
- Experience designing, calibrating, and validating production decision systems
- Translating domain expertise into structured production logic
- Strong foundation in statistics, probability, and decision theory
- Experience evaluating and tuning model outputs, incl. LLM reasoning
- Experience in regulated/risk-sensitive environments; fintech background preferred
- Master’s degree in statistics, applied math, data science, econ, CS, or eng; PhD preferred
🎁 Benefits
- Comprehensive medical, dental, and vision coverage
- 401k with company matching
- Generous paid time off and holidays
- Company-paid life insurance and disability coverage
- Flexible Spending Account and Health Savings Account options
- Lifestyle Spending Account and professional development stipend
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