reduction in TAT to process documents with unstructured data
accuracy in identifying addresses at the locality level for last-mile delivery
recall of delinquent clients in top 2 deciles, thereby reducing risk
Fraudulent claims are a serious financial burden on insurers and result in higher overall insurance costs. Here are a few examples of the way data analysis can be applied to fight fraud in the insurance industry:
Fraud detection in banking is a critical activity that can span a series of fraud schemes and fraudulent activity from bank employees and customers alike. Our experts use analytics to encounter the following problems:
Credit Risk Management Consulting covers the entire spectrum, including risk identification through diagnostic review analysis, risk assessment through corporate and retail scoring model development, risk measurement through estimation of Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) and Credit VaR models, as well as overall risk management, including collateral management, risk-based pricing, and reporting frameworks.
Our experts assist you in identifying and managing the complex risks associated with the development, deployment, and maintenance of intricate models used for risk management, valuation, and financial/regulatory reporting purposes. Market Risk Services span across the following areas: