Role Purpose /n 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. /n Role Accountability /n /n

- Develop customized collection scorecards for each assigned delinquency stage

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- Develop self-cure models for customized collection interventions & cost control

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- Develop micro-segments for effective portfolio interventions & to maintain acquisition quality

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- Develop transaction-level scorecards as input to the authorization strategy and cross-sell qualification

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- Develop application fraud prevention scorecard

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- Develop propensity models for offering hardship programs

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- Develop customized acquisition scorecards for assigned segments.

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- Develop customized behavior scorecards for each assigned segment.

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- Maintain inventory of assigned models

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- Automate & ensure model deployment either in credit & fraud decision engines or turbine/data lake

/n /n Measures of Success /n /n

- Ensure the timely development of the models as per plan

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- Model efficacy in terms of consistency & reliability

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- KS, Gini - Model performance metrics

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- PSI - Model stability metric

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- Out of time validation

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- Process Adherence as per MOU

/n /n Technical Skills / Experience / Certifications /n Positive knowledge of Big Data/R/Python/SaS/Hadoop /n Competencies critical to the role /n Analytical ability and problem solving /n Qualification /n Master's degree in related field /n Preferred Industry /n FSI / Any

📌 Senior Manager - Credit Modelling (Gurugram)
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📍 Gurugram