26th Edition Model Risk

Hilton Boston Park Plaza, Park Plaza, Boston, MA

The marcus evans 26th Edition Model Risk conference taking place on June 4-6, 2025 in Boston, will provide critical insights into the evolving field of model risk management, focusing on the integration of AI, ML, and traditional models. With an emphasis on robust governance, transparency, and effective oversight, sessions will explore strategies for aligning AI models with existing frameworks, while managing risks and ensuring compliance. Key discussions will cover model explainability, reducing bias in AI models, and managing model complexity across diverse technologies. Case studies from industry experts will address the challenges of optimizing and maintaining model inventories, focusing on the integration of AI and traditional models, and how automation can streamline validation, monitoring, and development processes. Participants will gain valuable knowledge on best practices for building a resilient model risk management strategy, enhancing cross-department collaboration, and ensuring ongoing compliance in a rapidly changing regulatory landscape.

Key Topics include:

· Reshape model risk frameworks and methodologies considering the advancements of AI, ML, and Gen AI.

· Explore supervisory perspectives on model risk management to ensure compliance is maintained.

· Improve model inventory workflows for streamlined risk management and effective oversight.

· Enhance efficiency and effectiveness of model validation and ongoing monitoring through process automation and platform integration.

· Enhance collaboration across departments to strengthen AI and ML model risk oversight.

· Balance the adoption of AI and traditional models to strengthen governance and ensure effective oversight.

Best Practices and Case Studies from:

· Lee Medoff, Head of Model Governance, Fifth Third Bank

· David Palmer, Managing Director, Morgan Stanley

· Kate Key, Director of Model Governance, Capital One

· Ken King, Risk Director of AI, Citizens