Machine Learning Engineer, Underwriting

📋 Description

• Senior IC building and evolving ML systems for underwriting.
• Work across full ML lifecycle: problem framing to deployment.
• Build, evaluate, and maintain underwriting and decisioning models.
• Design underwriting decision frameworks: modeling, automation, policy logic.
• Design experiments to evaluate model performance and policy impact.
• Understand consumer behavior, repayment dynamics, and portfolio structure.

🎯 Requirements

• Master’s degree in a quantitative field; PhD welcomed.
• 5+ years applying ML/AI in decisioning (credit/risk).
• Probabilistic models, calibration, score transformations experience.
• Strong experimentation: holdouts, lift, beyond-metrics evaluation.
• Model monitoring, degradation detection, retraining in production.
• Deep underwriting knowledge: bank & cashflow analysis; unsecured credit risk.

🎁 Benefits

• Remote work option
• Fintech/background welcome
• Consumer finance experience
• Advanced modeling techniques
• Background in SMEs