About the role
Responsibilities:
- Build and deploy credit risk/collections/fraud models
- Developapplication and behavioral scorecards using statistical techniques
- Own the complete model lifecycle: data features, modeling, validation, deployment
- Partner with business, product, and tech teams to solve high-impact problems
- Drive model monitoring, performance tracking, and recalibration
- Ensure model governance and regulatory compliance
- Mentor junior team members and guide modelling best practices
Requirements:
- 6+ years of experience in credit risk modelling/analytics
- Strong hands-on experience with scorecard development (logistic regression)
- Proficiency in Python / SAS / SQL
- Experience handling large datasets & feature engineering
- Strong understanding of the BFSI / banking domain
- Exposure to model validation, governance, and regulatory frameworks
- Strong stakeholder management and problem-solving ability
Secondary Requirements:
- Experience ML models (XGBoost, LightGBM, etc. ).
- Exposure to collections/fraud/rural lending models.
- Prior experience mentoring or leading small teams.