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| Job Location | Bangalore, Chennai, Mumbai City, Delhi |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | DBA / Datawarehousing,Statistics / Analytics |
| EmploymentType | Full-time |
Or Client is one of the largest financial services company in India and is headquartered in Mumbai, Maharashtra.Job Responsibilities- Scorecard Building and Modelling- Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers- Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products within the specified timelines. Ensure the deployment also is line with companys strategies so as to gain maximum efficiencies.- Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.- Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure- Formulating data cuts and strategies to assess credit risk for new and existing customers. Give feedback to stakeholders to improve the usage of the models- Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders - To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies- To work on various aspects related to automation of scorecards in Analytics domain.- Explore data available within the ecosystem but not used currently to meet the above stated business objectives- Innovation- Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.- Any other assignments depending on the needs of the organizationEducational Qualifications Key Skills1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred- Experience of 2+ years in analytics/predictive modeling/machine learning - Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models,
Keyskills :
machine learningpythondata analysissqlanalyticscredit riskrisk modelingbusiness growthequipment supplycommercial modelsfinancial servicesriskcutsretailcreditcontroldefaultbusiness