Lead Assistant Manager focusing on credit risk scorecards and delinquency prediction. Requires expertise in Python and SQL to manage large datasets effectively.
Responsibilities
Design and build credit risk scorecards to predict creditworthiness
Extract, clean, and preprocess data from various sources using SQL.
Develop and implement machine learning models for collections performance and delinquency prediction using Python.
Monitor model performance, conduct backtesting, recalibration, and validation.
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.
Requirements
Bachelor’s in Engineering or Master’s degree in Statistics, Mathematics
Familiarity with credit bureau data and experience working in a BFSI environment.
Job title
Lead Assistant Manager – Data Science, Data Scientist
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