Design and build credit risk scorecards (application, behavioral, and
collections scorecards) to predict creditworthiness and optimize account
management strategies.
Extract, clean, and preprocess data from various sources using SQL.
Develop and implement machine learning models for collections performance and
delinquency prediction using Python (including libraries like pandas,
scikit-learn).
Monitor model performance, conduct backtesting, recalibration, and validation
adhering to regulatory standards.
Collaborate with business and data teams to translate credit risk requirements
into modeling specifications.
Document modeling processes, assumptions, and results for internal governance
and audit purposes.
📌 Senior Manager-Data Science-Data Scientist (Gurugram)
🏢 EXL
📍 Gurugram