Posted on: 06/05/2026
Role Summary :
Key Responsibilities :
- Build Affluence/Income estimation models
- Develop Propensity & Intent models for cross-sell and customer targeting
- Design behavioral scorecards for portfolio management
- Perform feature engineering using bureau, banking, and behavioral data
- Work on model deployment, monitoring, and recalibration
- Partner with Risk, Product, and Growth teams to optimize approval rate vs credit cost
Required Skills :
- Hands-on experience with ML models (XGBoost, LightGBM, etc.)
- Experience in credit risk modelling / scorecards
- Strong SQL and data analysis skills
- Exposure to LLM/NLP use cases (good to have)
- Understanding of consumer lending / bureau data
Preferred Profile :
- Hands-on exposure to end-to-end model lifecycle
- Strong problem-solving and stakeholder management skills
- 3-5 years of experience
Why Join Us :
- Opportunity to solve complex problems in digital lending, UPI, Payments.
- Fast-paced, data-driven environment with strong growth potential
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Posted in
Data Engineering
Functional Area
Data Science
Job Code
1633940