High-quality global quant talent pool with techno-functional expertise
Sound knowledge of MRM regulations and policies – PRA, EBA, CRD IV, OCC (SR 11-7)
Proven execution accelerators such as generic tools, templates, test plans and playbooks
Model Risk Management
Since the Global Financial Crisis of 2009, robust Model Risk Management (MRM) has become a strategic and regulatory imperative for financial institutions, especially banks.
For more than a decade, CRISIL has been at the forefront of the field, helping financial institutions address unique needs at every step of the MRM cycle. Our expert consultants bring direct experience working with the largest and most complex global organizations. We help these institutions minimize model risk and refine their MRM processes by providing guidance and services in independent model validation, testing, development of control and governance frameworks, and automated solutions.
Our expertise in MRM regulation and policy across jurisdictions makes CRISIL an invaluable partner to banks working to meet stringent regulatory requirements around the world.
Solution Components
- Model Development (Methodology selection, design and implementation)
- Model Testing
- Model Monitoring
- Model Inventory Management
- Full Scope Validation
- Partial or Change Validation
- Periodic / Ongoing Validation
- Model Benchmarking and Testing
- Model Development/Validation and Report Documentation
- Existing Documentation Review and Remediation
- Model Risk Rating and Approval
- Development of MRM Policy and Framework
- Model Risk Appetite Framework Development
- Defining Ongoing Monitoring Plan
- Review Control Process
- Assess robustness of Model Control Process
Execution Accelerators
Model Infinity
CRISIL Model Infinity is an end-to-end model inventory platform addressing all model risk management (MRM) needs that integrates fully with your entire MRM value chain.
CRISIL EDGE
Knowledge Centre
Press Release
October 23, 2023CRISIL Ranked in Top 50 in Coveted Chartis RiskTech100 2024
Refine MRM, minimize Model Risk, meet Regulatory requirements