Develop and implement credit risk models (scorecards, regression, decision trees, GBM, and other ML techniques)
Support credit decisioning and portfolio risk management through advanced analytics
Leverage Python/R, SQL, and statistical modelling to design scalable risk solutions
Collaborate with cross-functional teams for model validation and monitoring
Skills & Experience Required
3+ years of hands-on experience in data science / risk modelling
Strong expertise in Python/R, SQL, and statistical techniques
Prior exposure to credit scoring / financial risk analytics preferred
Solid knowledge of machine learning methods (regression, decision trees, GBM, etc.)
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ₹70,000.00 - ₹90,000.00 per month
Application Question(s):
Do you have 3+ years of hands-on experience in data science / risk modelling ?
Do you have strong expertise in Python/R, SQL, and statistical techniques ?
Do you have prior exposure to credit scoring / financial risk analytics ?
Do you have solid knowledge of machine learning methods (regression, decision trees, GBM, etc.) ?
Work Location: In person
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