Role PurposeTo 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 AccountabilityDevelop customized collection scorecards for each assigned delinquency stageDevelop self-cure models for customized collection interventions & cost controlDevelop micro-segments for effective portfolio interventions & to maintain acquisition qualityDevelop transaction-level scorecards as input to the authorization strategy and cross-sell qualificationDevelop application fraud prevention scorecardDevelop propensity models for offering hardship programsDevelop customized acquisition scorecards for assigned segments.Develop customized behavior scorecards for each assigned segment.Maintain inventory of assigned modelsAutomate & ensure model deployment either in credit & fraud decision engines or turbine/data lakeMeasures of SuccessEnsure the timely development of the models as per planModel efficacy in terms of consistency & reliabilityKS, Gini - Model performance metricsPSI - Model stability metricOut of time validationProcess Adherence as per MOUTechnical Skills / Experience / CertificationsGood knowledge of Big Data/R/Python/SaS/HadoopCompetencies critical to the roleAnalytical ability and problem solvingQualificationMaster’s degree in related fieldPreferred IndustryFSI / Any