Overview
Scale MRM Capacity to Keep Up with Changing Demands
Financial institutions face immense pressure to manage risk in a growing model portfolio. Rising model complexity, mounting regulations, and compounding factors like ESG, generative AI, and economic volatility make MRM teams’ work even more challenging. Furthermore, outdated technology makes it extremely difficult to keep up with the evolving demands of model risk management.
We support model risk management teams across the model lifecycle from building governance frameworks to model development and validation to ongoing monitoring and reporting. Evalueserve’s risk experts have the necessary domain knowledge to help navigate the regulatory landscape and understand and implement new guidelines. Our managed services model blends the expertise of MRM practitioners with AI and domain-specific automation to maximize efficiency.
Increase efficiency to keep up with growing demands.
Ensure accuracy of data and documentation to instill confidence in the effectiveness of your MRM function.
Stay agile and mitigate new, complicated risks such as ESG, AI/ML, and economic turbulence.
Our Advantage
Delivering Results
Faster Model Validation
Time Saving in Model Test Interpretation and Documentation
Increased in Efficiency in Model Monitoring Process
Our Capabilities
Support Across the Model Lifecycle
Model Validation & Documentation
Support the full cycle of model risk management, from model documentation and validation to on-going monitoring. Accelerate MRM performance through innovative automation powered by the latest technology.
Model Risk Governance
Simplify governance and provide better oversight with enhanced reporting and model inventory management. Gain deeper insights and act quickly with comprehensive views of your risk profile against your risk appetite framework.
ESG Risk Modeling
Effectively navigate ESG concerns and integrate ESG & Climate into your risk management. Our expertise can help you comply with evolving regulations and make better-informed decisions.
AI/ML
Improve model’s predictive powers by replacing traditional techniques with AI/ML approaches. Enhance current risk frameworks to manage the risks associated with these models.
Related Resources
Optimize your outcomes.
Managing Risk Through Good Data Management
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.
Model Risk Management in a post-COVID World: Highlights From “Advanced Model Risk 2021”
Advanced Model Risk 2021 event offers eye-opening view of how MRM models enhanced through improved technology and practices.
Four steps to make your model risk management 50% more efficient
Developing, validating and monitoring multiple models is hard work. Regulators want high-quality, well-produced reports.
Make Risk Management Compliant, Robust, and Fail-Proof
We set up a dedicated team with experience in credit risk model monitoring and various data analytics tools, including SAS. A senior risk specialist supported the team.
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