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