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.