In a fast-evolving financial landscape, model risk management is under unprecedented pressure. As regulatory expectations rise and institutions struggle to keep pace, outdated assumptions, staffing shortages, and fragmented oversight are creating systemic
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The
following article explores the themes and trends that were the focus of
CeFPro’s Advanced Model Risk USA event
in 2025 during a session on navigating the evolving landscape of
regulatory expectations and industry practices
Any one currently working in
the field of model risk management (MRM) knows it’s a discipline that is being constantly
redefined by a relentless convergence of rising regulatory expectations,
operational complexity, and real-time market volatility.
The sector is facing a critical
inflection point where business-as-usual practices are no longer tenable – nd
the consequences of inertia are becoming dangerously clear.
At CeFPro’s recent Advanced
Model Risk event, it became clear during a session on MRM frameworks that many
institutions are struggling to adapt to the new demands placed upon them.
The environment is no longer
one of steady rates and predictable risks. Instead, banks must contend with
sudden liquidity shocks, tightening capital buffers, and increasingly
interconnected risk profiles.
One expert with extensive
experience across U.S. institutions highlighted the disconnect between internal
model governance and emerging external threats. Validations once considered
acceptable are now being penalized as outdated under revised standards.
“A model that passed scrutiny a
year ago is suddenly triggering MRAs,” they said, pointing to regulatory
whiplash following high-profile collapses like SVB and Signature Bank.
This shift in expectations
isn’t just technical - it’s cultural. Traditional boundaries between model risk
and enterprise risk are eroding. Institutions can no longer view MRM as a
siloed function.
“We used to pat ourselves on
the back when our liquidity heat map showed green,” one speaker explained. “But
green isn’t the whole story. We need forward-looking models that show us
vulnerability, not just status quo.”
Adding urgency to the
conversation is the inconsistent application of regulatory scrutiny. Some
smaller banks face intense examination over issues that large institutions
appear to sidestep.
This disparity complicates
strategic planning and exacerbates internal pressures, especially amid
cost-cutting, skill shortages, and retention problems.
The growing complexity of
modeling – spurred by AI, automation, and heightened stress testing – has
placed enormous strain on model owners and risk teams alike.
