Case Study on Application Fraud Scorecard for the Retail Assets of a leading Bank: Risk Analytic

Market Equations helps a leading Bank design and develop a predictive model which could predict the future propensity of a customer committing fraud at the application level at pre RIC stage for their unsecured lending products(Personal Loan, Business loan and Small Business loan). This case study helps you understand how an organization can leverage advanced analytics to optimize their fraud detection efforts by building smart risk analytics and mitigation strategies by identifying the customers most likely to fraud or turn bad debt. Click here to read more…

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