MRMraptor
AI-powered Model Risk Management
Scale model review capacity within your existing test infrastructure
MRMraptor
Why Model Risk Management Must Adapt and Embrace AI
Models help financial institutions drive critical decisions every day, but only if they are relevant and functioning correctly. For larger banks, this means thousands of models must be maintained, with the number of models in use growing by more than 20% each year. (IDC)
To add to this challenge, 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 have worked at top banks, MRMraptor is designed to:
- Operate alongside - not within - any testing infrastructure
- Apply algorithms to interpret your in-house generated test results
- Auto-generate content and populate 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.
Create cogent, high-quality quantitative content appropriate for internal and external stakeholders without altering your infrastructure.
Apply to models across any domain and at any stage including Validation, Ongoing Monitoring, and Development with a single deployment.
Use AI to Interpret Test Results Across Domains
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 test results for any type of model in financial settings and is currently being used by clients for Counterparty Credit Risk, Time Series Statistics, Model Performance Statistics, and more.

Automate Reporting and Documentation
Manual documentation can be inconsistent and miss the mark on specific regulatory requirements. MRM Raptor 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.
Industry Insight
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.
Related Resources
Optimize your outcomes.
RiskMinds Discussion Highlights: Implementing a Risk-Based Approach to Model Risk Management
The recent pandemic significantly stressed the model tiering approach presenting a clear to need for a model risk management system.
SR 21-8: Rationalizing Model Risk Management for BSA/AML Models and Systems
The recently issued interagency statement SR 21-8 is a non-binding
Financial Crime and Risk Management— Separate Origins, Converging Practices
The traditional types of risk such as credit and market risk are about losses and are able to be quantified. It may not always be easy to mitigate risk, but the first step is to gather data and make calculations that provide a basis for decisions about whether any given business is worth doing.
Combating Financial Crime Through Model Risk Management
Models are complicated things, and the principles of model governance, implementation, and use are there to make sense of them, make them explainable, and confirm that they work. Let’s take a closer look at how financial institutions currently do that and check our recommended practices for robust financial crime prevention, detection, and reporting.
- Solutions for Financial Services
Related Industries
Additional Industries.
Investment Banks
Corporate & Commercial Banks
Asset & Wealth Management
MRMraptor
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