Crisil Ltd, the global provider of advanced analytics and model risk management solutions, has been named Category Leader in three quadrants in the prestigious Chartis RiskTech Model Risk Management 2024 Quadrants report.

The company secured the coveted pole position in two quadrants, reinforcing its expertise in model risk management and reflecting its unwavering commitment to delivering innovative, reliable and best-in-class solutions to clients.

The Chartis report analyses the model risk management vendor landscape and underscores the convergence of model validation and governance solutions globally. It lists key players, their strengths, importance of model governance, and the need for specialist tools and expertise.

Says Michael Winn, Head - Quantitative Services and Risk Solutions, Crisil, “We are delighted and honoured to be recognised as the Chartis Quadrant Leader for Model Validation Solutions and Services in both credit and derivatives, and for Excellence in Model Governance Solutions. This is a testament to the expertise and dedication of our teams, and their commitment to providing clients with high-quality, bespoke model risk management services.”

Crisil offers comprehensive expertise in model risk management, with experience across the model risk lifecycle, including model development, validation, governance, and inventory management:

• Model development and documentation services cover design, development, integration and implementation of models as per policy and standards
• Model validation services comprise full-scope validation, partial validation, model change review and annual reviews
• Model governance and inventory management services include model risk tiering, ongoing model performance monitoring, model inventory management, policy and model risk framework design

Crisil’s experience in model risk management spans all model classes, including derivatives pricing, market risk, credit risk, capital and regulatory, qualitative, credit decisioning, operational risk, climate risk, and artificial intelligence and machine learning models.

Says Nageswara Sastry Ganduri, Head - EMEA and APAC, Risk Analytics and Regulatory Transformation, Crisil, “The accolade highlights the trust and confidence reposed by clients, partners and stakeholders in our ability to address their evolving model risk management challenges with precision and expertise. We remain laser-focused on delivering model risk management solutions that help clients navigate complex regulatory and operational landscapes. We celebrate this success with our clients, teams and partners, who have been instrumental in this journey. Together, we will continue to raise the bar in model risk management.”

Crisil’s risk management solutions expedite regulatory and internal compliance, enable informed decision-making, and deliver substantial cost efficiencies for financial institutions. Among the key solutions are: 

• Model Infinity: A cloud-ready platform for model inventory, workflow and governance. It leverages advanced analytics and robust reporting to address distinct model inventory and model risk management requirements
• Scenario Expansion Manager: An adaptable tool that empowers financial institutions to seamlessly define, design, expand and analyse regulatory and internal stress-testing scenarios with precision and flexibility

Earlier this year, Crisil was recognised in three categories of the STORM50 report. Further, the company was named Category Leader in Model Validation for the third consecutive year in the RiskTech100 report. Crisil was also named Category Leader in the Regulatory Reporting Solutions Quadrant Report 2024.

The achievements underscore Crisil’s exceptional capabilities in risk management and regulatory compliance.

Chartis Research is part of Infopro Digital, which encompasses multiple brands, digital channels and events across the finance, technology and corporate sectors. Their combined reach of more than 400,000 risk and compliance professionals makes the RiskTech100 report the most comprehensive study of its kind.