- Case study
The digital way to model risk—and pass a tough exam
How a major bank strengthened its credentials and made the Fed happy
The U.S. subsidiary of a top European bank, with $54.7 billion in deposits, 650 branches, and 9,800 employees.
A robust model risk management (MRM) solution that is both more effective and value-centric.
We implemented a digitally enabled, model risk management (MRM) solution with automated, integrated and standardized model validation and governance processes.
An MRM framework that really works. The result: The bank strengthened its model risk governance credentials, built strong client support, realized operating excellence—and achieved an A+ in regulatory compliance.
As one of the top U.S. retail banks by deposits, this financial institution offers a full suite of products and focuses on a simplified, personal approach that sets it apart. That's the good news. The bad news: It was failing the Fed's Comprehensive Capital Analysis and Review (CCAR) exam, which measures the fitness of the country's banks. Facing increased regulatory scrutiny, the company turned to Genpact to get its MRM standards and policies up to speed and to strengthen its model risk governance capabilities.
Banks create scenarios—models—to understand their risks when making investments, or issuing credit. But sometimes the models themselves are wrong: As well, sometimes, they no longer perform the way they should and don't flag risks.
That happened to one of the top retail banks in the U.S.—and it failed the Federal Reserve's annual CCAR exam as a result. The Fed uses the CCAR exam to determine if banks have enough capital to withstand economic stress, and to assess whether their plans for dealing with risk are strong enough.
Clearly, this bank had to have a better risk management solution, so it turned to us to craft one. We found the following evident problems right away:
No question—independent validation of its credit, capital, and market risk models was critical.
After analyzing the bank's current MRM process, we identified a number of issues, including:
Cora RiskMonitor, built on our AI-based Cora platform, integrates model risk management and allows machines and humans to work together for more accurate and efficient validation and governance. Using Cora RiskMonitor, our team created a customized MRM solution that included:
Our solution allowed the bank to make models that work, so it could make better decisions and do better all around. Here's what it got:
The bank strengthened its credentials, built strong client support, and achieved operating excellence. Delighted with the impact, it decided to go in for a multi-year managed partnership with us. By doing so, the bank to not only achieved a scalable delivery model, it also strengthened its overall MRM standards.