a. Model Development and Deployment
- Design, build, and deploy machine learning models for credit scoring. Perform risk evaluation and business impact analysis and making suggestion to Risk counterparts.
- Develop and perform testing on model implementation logics.

b. Feature Engineering and Model Improvement
- Conduct analysis to improve model performance, through research in algorithms or feature engineering.

c. Data Analysis and Insights
Work along with Risk counterparts to analysis portfolio and acquisition performance. Fine tuning Risk rule engines and drive improvement to implementation.