29th Edition Model Risk Management for Financial Institutions (2-4.12.2026)

As GenAI adoption accelerates across US financial institutions, model risk frameworks must evolve to govern increasingly complex, adaptive, and non-deterministic models without slowing innovation. This conference brings together senior risk, validation, audit, and AI governance leaders to explore how firms can maintain compliance with SR11-7 while aligning with evolving regulatory expectations, including SR 26-2: Revised Guidance on Model Risk Management, alongside heightened supervisory focus on AI governance and third-party/vendor model risk.

Delegates will gain practical insights into aligning AI and traditional models within unified governance frameworks, improving model inventory management, strengthening validation and audit practices, and establishing clear model definitions and classification. Through case studies and expert discussions, the event focuses on enhancing explainability, mitigating bias, and building scalable, transparent model risk frameworks.

The GFMI 29th Model Risk Management for Financial Institutions conference will explore best practices in managing traditional and emerging model risks, with a focus on strengthening model governance, validation, and enterprise-wide oversight. Gain insights from real-world case studies, expert-led panels, and peer discussions on interpreting new regulatory expectations such as SR 26-2, defining governance boundaries for AI and agentic systems, and advancing end-to-end model lifecycle capabilities. Sessions will cover practical approaches to GenAI and LLM validation, real-time model monitoring, and integrating model risk into broader enterprise risk frameworks. Whether you're looking to enhance governance structures, improve model oversight, or scale risk management across increasingly complex model ecosystems, this event delivers actionable strategies and tools to build resilient and future-ready frameworks.

Topics Covered:

• Interpret regulatory changes from SR 11-7 to SR 26-2 for model risk frameworks to align governance with evolving supervisory expectations
• Improve GenAI validation workflows to maintain control and oversight across expanding model portfolios
• Advance enterprise-wide AI model governance frameworks for scalable AI adoption to ensure consistent risk control across diverse use cases
• Strengthen model inventory management for lifecycle completeness to ensure accurate AI and model tracking
• Standardize model definitions to improve governance consistency across systems
• Determine best practices for managing separate inventories for AI and traditional models compared to a combined model inventory

Best Practices and Case Studies from:

• Emre Balta, Chief Model Risk Officer, First Citizens Bank
• Samir Abrol, EVP, Chief Model Risk Officer & Head of Data Governance, Santander US
• Sam James Henkel, Executive Director, Model Development, UBS
• Alireza Joukar, SVP Model Risk Management, Citi
• Hakan Gogtas, Head of the US Model Validation, Deutsche Bank
• Vaughn Zakarian, Managing Director, Model Risk Management, Charles Schwab

Special discounts available to Private Banking members! For more information please contact: Stefanos Ioannou, Digital Media and PR Executive at stefanosi@marcusevanscy.com or visit: https://tinyurl.com/muc78z53