With increasing application of technology, organizations are facing the ‘problem of plenty’ with respect to internal data. This makes it difficult for firms to continuously monitor every transaction that they undertake / process for multiple agents, on a minute-by-minute basis. Interestingly, the solution to this problem also lies in leveraging technology and integrating it with modern data analytics.

WNS routinely helps clients pre-empt risk by helping them foresee and quantify it by leveraging analytics and technology. To facilitate this, we have built a team of highly skilled data scientists with deep domain knowledge of the industry. We go beyond the conventional methods of risk modeling and are adept in exploring alternative data, unstructured text and social media analytics.



  • Demand and Risk Forecasting

    • To facilitate better planning of cash flows, inventory, processes and people by implementing our advanced time series and econometric models

  • Financial Risk Modeling

    • To help clients identify and mitigate credit risk, market risk and liquidity risk by leveraging the state-of-the art quantitative models

  • Forensic / Fraud / Audit Analytics

    • To facilitate continuous audits of all transactions to detect and weed-out potential vulnerabilities in F&A with the help of our algorithms

  • Third-party Risk Modeling / Scoring

    • To detect vulnerable debtors / customers / vendors, based on pattern recognition of their business history and link analysis

WNS designed a model to predict the survival probability for mortgage customers opting for loan-term modificat..
WNS helped the client build a fraud detection model based on statistical analysis, saving significant costs
WNS helped the client identify bookings using fraudulent credit cards, reducing annual fraud loss by ~30%

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