Senior Applied Scientist, Credit Risk
Designs, builds, and optimizes ML models for credit risk decisioning and portfolio management. Owns full ML lifecycle including deployment and monitoring, applying stats, causal inference, and economics to business problems. Requires 5+ years experience, strong Python/SQL skills.