Navigating Complexity: Building Robust Model Risk Management

As models become more sophisticated—driven by increased processing power and the growing availability of diverse data sources—the need for effective Model Risk Management (MRM) has never been greater. Organisations must ensure that their approach to managing model risk evolves in step with this complexity.

The widespread adoption of AI across the workplace introduces both opportunities and new risks. Understanding these dynamics is essential for future success. A strong model risk culture—where users and stakeholders are informed, engaged, and empowered—is central to this effort.

To meet these demands, Model Risk Managers must leverage structured frameworks and tools that support efficient oversight of expanding model inventories. This enables them to shift focus from reactive controls to proactive engagement across the organisation, helping teams anticipate and mitigate risks before they materialise.

MRM is advancing rapidly. It’s no longer just about compliance—it’s about ensuring that models continue to deliver value to customers and drive commercial success. Organisations must regularly assess their capabilities and tools to stay ahead in this evolving landscape.

Want to learn more?

We have released a comprehensive guide to achieving robust model risk management. You can access it here: 4most Releases New Guidance for Model Risk Management.