Our banking analytics solutions span the entire spectrum of the BFS industry – retail banks, commercial finance, capital markets, asset management and investment banks. Our risk analytics services include:
Fraud analytics to detect identity frauds, credit card frauds, mortgage frauds as well as designing of predictive scorecards, based on trends and patterns
Operational loss modeling to predict likely operational losses based on assessment of likelihood and severity of operational losses
Scorecard development and validation, estimation of risk parameters such as Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD) as well as economic capital modeling
We help clients mitigate portfolio risks by identifying internal drivers (such as default rate, loss rate) and external macro-economic drivers (such as exchange rate, lending interest rate) that drive portfolio risk metrics and forecast for risk controls. Our portfolio analytics solutions enable clients to maintain a desirable portfolio risk profile and optimize portfolio performance.
We enable BFS clients to build advanced debt collection strategies by developing propensity models at various stages of the end-customers’ delinquency. We consider diverse attributes like customers’ historical data, transactional history, demographics, firmographic data, and external data and develop logistic regression models, survival models to accurately predict the customer payment behavior.
Our customer analytics helps clients acquire new customers, identifying customers at risk of attrition and designing segment-based retention strategies. Analytics also enhances customer engagement with the client’s products and services through cross-sell / up-sell propositions.
Our solutions also include data services, digital and contact center analytics services.