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| Job Location | Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | Finance / Accounts / Tax |
| EmploymentType | Full-time |
- Candidate will be part of the Fraud & Collection Analytics team and will be responsible for creating analytical solutions for effective fraud prevention and enhance collection mechanism.Client Details- Indian private sector bank with national presence. Employees over 20,000 people and holds assets worth $22bn.- The analytics team is crucial in delivering the long-term vision of the bank.- The team will work closely with all business units (product, sales), functional stakeholders (e.g. credit, operations, Journey Excellence), technology teams (IT team and vendors) and external partners (e.g. DSAs, agencies) to deliver impact on key business metrics through data and analytics.Description- Understanding the business nuances and associated fraud patterns.- Developing advance ML models for customer fraud identification- Develop the entire framework comprising of solutions for individual, channel and collusion fraud using a combination of supervised and unsupervised statistical techniques- Explore alternate sources of data which can add value on top of the traditional data sources for fraud prevention- Supporting the business and risk teams with bespoke and strategic analysis- Development, tracking and management of the Fraud prevention strategy across all businesses- Develop and test hypothesis around consumer repayment behaviours for retail products- Develop analytical models to predict the flow of customers from one delinquency bucket to another- Develop key risk parameters for collections and benchmark them month on month- Create and Monitor MIS for all the collection strategies being deployedProfile- Masters degree in Economics, Statistics, Computer Science etc- 1-5 years of experience in the field of analytics - preferably in Banks/NBFCI/Fintech/Ecommerce/COnsulting- Proficient in SAS, Python, R- Strong understanding of the statistical concepts and modelling techniques like LR, GBM, XGBoost, Random Forrest, ANN- Experience of working on business/risk analytics- Logical thought process, ability to scope out an open ended problem into data driven solutionJob Offer- Opportunity to work with a fast-growing Indian bank - Be part of analytics team crucial in executing long-term goals of bankTo apply online please click the Apply button below.,
Keyskills :
private sectorbusiness unitsfraud analyticscomputer sciencefraud preventionfinancial servicesstatistical conceptsmissasrisklongterm vision