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About the role
Credit Card Analytics Lead Roles & Responsibilities :- Model development, documentation, implementation and monitoring of credit card business of bank using a combination of SAS / SQL / Python / PySpark- Perform in depth analysis on large data sets, and prepare analysis and actionable reports to support discussions on key analytics and modelling aspects, to drive decision making Model development, documentation, implementation and monitoring of forecasting models involving balances, losses (credit), Allowance and Stress testing models using a combination of SAS / SQL / Python / PySpark- Perform in depth analysis on large data sets, and prepare analysis and actionable reports to support discussions on key analytics and modelling aspects, to drive decision making- Use sophisticated statistical techniques to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools in day to day operations.- Design modules for advanced score development and analytical tools.- Participate in the implementation of sophisticated financial models in live operating environments within the organisation.- Communicate the context and value of data analysis and models to stakeholders.- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies Credit Card Analytics Lead Roles & Responsibilities :- Model development, documentation, implementation and monitoring of credit card business of bank using a combination of SAS / SQL / Python / PySpark- Perform in depth analysis on large data sets, and prepare analysis and actionable reports to support discussions on key analytics and modelling aspects, to drive decision making Model development, documentation, implementation and monitoring of forecasting models involving balances, losses (credit), Allowance and Stress testing models using a combination of SAS / SQL / Python / PySpark- Perform in depth analysis on large data sets, and prepare analysis and actionable reports to support discussions on key analytics and modelling aspects, to drive decision making- Use sophisticated statistical techniques to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools in day to day operations.- Design modules for advanced score development and analytical tools.- Participate in the implementation of sophisticated financial models in live operating environments within the organisation.- Communicate the context and value of data analysis and models to stakeholders.- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies