Organizations are exposed to different types of fraud, and in varying degrees, perpetrated by customers, employees, vendors, third parties and others. Every year, companies lose billions of dollars to financial crimes and fraud. The expansion of online channels has led to increased instances of fraud, especially for e-commerce entities, airlines and banks, among others. The typical approach to combat fraud is to strengthen process controls through either system-based or manual controls. Another approach used extensively in proactive fraud detection is leveraging analytical models with predictive capabilities to detect vulnerable transactions at the outset.
WNS offers comprehensive fraud management services across the value chain to support leading global organizations. These services cut across analytics, technology and people support. Our predictive fraud model engine buckets transactions based on fraud propensity scores. The model analyzes current transactions and pattern-matches its characteristics with the previous instances of fraud through multiple predictive modeling techniques. Once detected, the suspect cases are examined by a team of experienced fraud investigators.