The Sr. Credit Risk Data Scientist plays a central role in how Oze lends, owning the machine learning models that decide who gets credit, how much, and on what terms across our bank partners. The role is about tailoring and strengthening Oze's base credit model for new use cases and markets, and making sure every decision it makes is explainable and fair.

Job Responsibilities

• Tailor and specialize Oze's base credit models for new use cases, customer segments, and markets as they launch through Oze Embed and Oze Originate, building use-case-specific layers rather than rebuilding the core each time


• Strengthen the base model by improving its predictive power, recalibrating and retraining it, and expanding its feature set to lift approval rates while holding or lowering loss rates


• Build explainability into every credit score so customers, partner credit committees, and regulators can understand the reason behind ...