Data Scientist at Kpler enhancing Gas and Power teams to aggregate data for future forecasts. Collaborating with engineers and product teams for model deployment and performance enhancement.
About the role
- Senior Manager in Data Science responsible for designing and implementing credit risk scorecards and machine learning models. Collaborating with data teams in a BFSI environment based in India.
Responsibilities
- 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.
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
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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