Lead - Risk Scorecard Development - CIBIL/CRIF Bureau Data - Python & SQL

We're looking for a strategic thinker with hands-on experience in credit scorecard development using Indian credit bureau data (CIBIL, CRIF, Experian), coupled with strong proficiency in Python and SQL for data handling, modeling, and deployment. The ideal candidate blends domain knowledge with coding finesse to build scalable, predictive solutions for risk management.

Key Responsibilities:

- Build application and behavioral scorecards using bureau data

- Perform reject inference, bad rate analysis, population stability tracking

- Clean and wrangle bureau datasets using Python (pandas, NumPy) & SQL

- Translate insights into deployable credit models and real-time scoring pipelines

- Work with NBFCs, banks, or fintechs to calibrate risk thresholds and optimize performance

Must-Have Skills:

- Strong exposure to Indian bureau datasets (CIBIL, CRIF, Experian)

- 10-15 years' experience in credit risk modeling

- Advanced coding in Python & SQL (data manipulation, model logic, dashboards)

- Experience with deployment: APIs, dashboards, or cloud platforms (AWS, GCP)