Data Scientist - Credit Risk Models

Design & Develop Credit Risk Scorecards: - Develop, build and maintain credit risk models and scorecards, leveraging machine learning techniques to assess customer creditworthiness. Data Handling & Preprocessing: - Perform data cleansing, merging, and enrichment, ensuring high-quality datasets for scorecard development. Handle large-scale financial datasets and transform them into actionable insights for credit risk scoring. Feature Engineering: - Extract and engineer meaningful features from raw financial data to enhance the predictive power of credit risk models. Perform advanced feature selection techniques to optimize model performance. Risk Model Development: - Build, test, and refine machine learning algorithms to predict credit risk, leveraging a mix of traditional and advanced analytical approaches.