Role Purpose

To develop and maintain collection scorecards, segments for portfolio intervention, and transaction-level authorization strategies and oversee implementation of credit & fraud decision engine deployment for the organization.

Role Accountability

- Develop customized collection scorecards for each assigned delinquency stage
- Develop self-cure models for customized collection interventions & cost control
- Develop micro-segments for effective portfolio interventions & to maintain acquisition quality
- Develop transaction-level scorecards as input to the authorization strategy and cross-sell qualification
- Develop application fraud prevention scorecard
- Develop propensity models for offering hardship programs
- Develop customized acquisition scorecards for assigned segments.
- Develop customized behavior scorecards for each assigned segment.




- Maintain inventory of assigned models
- Automate & ensure model deployment either in credit & fraud decision engines or turbine/data lake

Measures of Success

- Ensure the timely development of the models as per plan
- Model efficacy in terms of consistency & reliability
- KS, Gini - Model performance metrics
- PSI - Model stability metric
- Out of time validation
- Process Adherence as per MOU

Technical Skills / Experience / Certifications

Valuable knowledge of Big Data/R/Python/SaS/Hadoop

Competencies critical to the role

Analytical ability and problem solving

Qualification

Master’s degree in related field

Preferred Industry

FSI / Any

📌 Senior Manager - Credit Modelling (Gurugram)
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📍 Gurugram