Balancing Speed and Risk: The AI Challenge for Banks

Video

As banks race to deploy AI, they face a critical challenge - how to balance speed to market with responsible risk management. Christophe Rougeaux of TD Bank explores efficiency levers, AI governance, and lessons from past crises to ensure financial institutions can innovate without increasing risk.

Mar 27, 2025

Christophe Rougeaux, Model Risk Management Executive, TD Bank Group

Tags: Model risk AI and Technology (including Fintech)

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The rapid adoption of AI in banking demands a careful balance between speed and responsible risk management.

Christophe Rougeaux of TD Bank discusses how collaboration between first and second lines of defense, automation, and scenario analysis can help mitigate risks without slowing innovation.

He also shares insights from the COVID-19 crisis, emphasizing the need for a robust crisis management playbook and emerging risk monitoring to ensure AI models remain resilient in an unpredictable environment.

Christophe Rougeaux Bio

Christophe is an expert in analytics expert who helped global organizations ensure effective and sustainable management of their analytics, through robust oversight governance. Christophe previously co-led McKinsey's Model Risk Management service line. Since 2024, he is a Model Risk Management Executive at TD Bank Group when he is heading the model validation of the non-retail portfolio and leading strategic AI/Model Governance initiatives.