An Unparalleled Framework for AI and Model Risk Management
Major financial institutions use models to manage risks, create investment strategies, increase sales, and improve process efficiency. Better models produce better results. Sound modeling practice can help to improve institutional compliance with regulatory model risk requirements (OCC 2011-12/FRB SR 11-7, FHFA AB 2013-07 and AB 2022-02, FIL-22-2017).
With this in mind, we offer you a holistic model risk management framework based on three key elements: governance, model life cycle, and model validation (more details in lists below). The same principles can be customized and applied to manage AI and Machine Learning model risk.
In addition, our sophisticated approach can reveal hidden developmental errors in existing models, or how they may be improperly used.
Model Risk Management Framework
Governance
Board, Management and MRM
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Policy and procedures
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Model identification, classification, and inventory
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Performance monitory
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Issue tracking
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Reporting
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Training
Risk Mitigation in Model Life Cycle
Model Owners
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Development/Acquisition
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Implementation
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Testing
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Performance tracking
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Change management
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Documentation
Independent Model Validation
MRM Group
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Data input
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Assumptions
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Theory, math, and code
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Outputs
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Risk and limitation
Proven Success Story: Increase Benchmark Capacity from 5% to 99%
We bring hands-on experience in translating regulatory guidance to the policy and implementing internal guidance. Our services are based on proven success in creating, designing, implementing, and maintaining a model risk management framework for both the second (risk) and the third lines (audit).
In one case, we designed and implemented the MRM framework from the ground up and built in-house capacity that enabled the company to increase benchmarking coverage from less than 5% to overall 99% on balance sheets and to expand frequency from every three years to annually, quarterly, or as needed. The framework substantially improved business effectiveness, efficiency, transparency (understanding black boxes), and flexibility while reducing risk and cost.