Requirements: Required Experience:: Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems ML background with hands-on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit-learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross-functionally with product, engineering, and commercial teams Strong data communication skills — written, oral, and visual Highly Desirable:: Experience in credit, underwriting, lending analytics, or fintech modelling
