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| Job Location | Delhi |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | Sales / BD |
| EmploymentType | Full-time |
1. Drive Risk and Collection analytics 2. Manage team of 8 to 10 data scientists 3. Use sophisticated statistical techniques to design advanced analytical scorecards for customer acquisition, customer life cycle management and collection/recoveries 4. Manage Bureau relationship and leverage it for market trends/insights 5. Data augmentation through external partners for better scoring 6. Digitalization of Risk Management Processes 7. Use of Machine Learning algorithm for advanced analytics 8. Collaborate with business users for implementation and monitoring of scorecards/solutions 9. Implementation of analytical solutions through IT platform 10. Interact with senior management and business stakeholders for driving business growth through analytical solutionsRequired Candidate profileSpecialized job competencies: Hands on experience with scoring/data modeling Tools: SAS, R, Python, Knowledge Seeker Statistical Techniques: Logistic Regression, Segmentation, Forecasting, Machine Learning Techniques, OptimizationSalary: Not Disclosed by RecruiterIndustry: Banking / Financial Services / BrokingFunctional Area: Analytics & Business IntelligenceRole Category: Analytics & BIRole: Analytics ManagerEmployment Type: Full Time, Permanent ,
Keyskills :
billingaccountscreditsalesanalysiscustomerlifecyclemanagementlifecycleriskmanagementbusinessgrowthmachinelearningmanagementcommercialmodelsfinancialserviceslogisticregressionenicustomeracq