The Retail Assets Data Science team is responsible for developing risk, marketing, and allied scorecards for products like credit cards and personal loans
Job Summary
The Retail Assets Data Science team is responsible for developing risk, marketing, and allied scorecards for products like credit cards and personal loans.
Candidates will leverage cutting-edge data science capabilities to optimize decision-making through the design and maintenance of statistical risk models.
The role requires collaborating with technology teams to automate processes and ensure scalability while adhering to internal and external model risk standards.
Matching Summary
The Retail Assets Data Science team is responsible for developing risk, marketing, and allied scorecards for products like credit cards and personal loans.
Skills & Requirements
Must-have
Python PySpark SAS SQL programming
Machine Learning model development XGBoost Light GBM