Reimagining Model Risk Management: New Tools and Approaches for a New Era

A collaborative report with Chartis Research.

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Models are essential in the finance industry, supporting various risk areas, but they are also prone to errors that can significantly impact operations. As a result, financial institutions are establishing dedicated model risk functions with structured frameworks, comprehensive policies, and clear accountability. To address the increasing complexity of managing model risk due to regulation and market volatility, these institutions are turning to automation. Many are developing specialized tools for model governance, with automation streamlining processes and aligning model risk governance with validation.

Download our report with Chartis Research to learn:

  • How MRM is adapting to new regulatory standards across sectors.
  • Market dynamics impacting model performance and automation strategies for governance and validation.
  • Insights on EU AI Act compliance and AI/ML advancements in model risk practices.
  • Best practices for model validation, real-time monitoring, and customizable alerts.
  • An integrated approach to risk management with case studies on successful MRM tool implementations.

Our Team

Meet Our Experts

Anna Slodka-Turner

Global Leader for Risk and Quant Solutions

Amit Inamdar

Head of AI ML Innovations Labs

Arijit Roy

Global Head of Delivery and Operation (Risk & Compliance)

Nitesh Sharma

Associate Director, Risk & Quants Solutions

Market Insight

Model Risk Management in the Digital Transformation Era

Explore what lies ahead for Model Risk Management. Download our collaborative report with Chartis Research for key insights.