AI-powered Model Risk Management
Scale model review capacity within your existing test infrastructure
Why Model Risk Management Must Adapt and Embrace AI
Models help financial institutions drive critical decisions every day. According to IDC, larger banks currently run thousands of models, and the number of models in use is growing by more than 20% each year.
However, increased model use implies increased model risk. Recent structural changes within financial markets have shed light on how easily assumptions can be rendered obsolete, causing frequent and unanticipated model malfunction and misuse. This puts additional strain on Model Risk Management (MRM) teams to recalibrate models, improve model governance, and maintain regulatory compliance.
Evalueserve offers AI solutions like our model risk management automation platform MRMraptor to help overstretched MRM teams scale model review capacity. Built by MRM experts who work with top banks, MRMraptor is designed to operate alongside any testing infrastructure. The model risk software applies algorithms to interpret your in-house generated test results, producing content and populating your approved documentation template(s).
Shorten model review cycles from months to weeks. Spend less time on documentation and more time on value-added tasks.
Through automation, perform more model reviews over time, achieve uniform consistency across review, and eliminate documentation errors.
Deploy MRMraptor alongside any testing infrastructure. The software is model and environment agnostic, so you can deploy quickly and see results.
Use AI to Interpret Test Results
To handle the large volumes of testing required for frequent model reviews, analysts need to spend long hours poring over test results and collating insights. Our AI algorithms are tuned to specifically handle model test results in financial settings.
Automate Reporting and Documentation
Manual documentation can be inconsistent and miss the mark on specific regulatory requirements. MRMraptor automatically generates technical content and populates pre-approved templates. Once the report is produced, analysts can easily use the visual editor to adjust visualizations, move around sections, and edit copy. MRMraptor enables model risk management teams to stay agile, quickly create new reports, and meet regulatory demands.
Get Expert Model Risk Management Guidance
Beyond AI interpretation and document generation, our experts can guide you in all areas of model risk management. Clients look to us to operationalize automation for their standard tests, test scheduling, and more. We can help your team implement best practices in everything from the foundational elements of model governance to model development, stress testing, and reporting.
Managing Financial Risk in Models
While data can certainly be used to keep financial organizations informed and reduce their exposure to risk, it is important to consider what sort of data is most useful and what is the most effective way of gathering and using it. Not all data or all data management systems are equal.
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