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Putting AI Governance Into Practice in Financial Services
Manage episode 520410131 series 3520061
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As AI spreads across trading, risk, compliance, and client interactions, financial institutions are grappling with how to bring governance and oversight in line with the pace of innovation.
In this episode, David Trier, Vice President of Product at ModelOp, joins host Jim Jockle to discuss how firms are extending long-standing model risk frameworks into the world of AI and agentic systems. Drawing on more than two decades in analytics and risk technology, he talks about where the industry really stands on AI governance today, how regulations are influencing practice, and what changes as models become more dynamic, data-driven, and autonomous.
Chapters
1. Setting The Stakes For AI In Finance (00:00:00)
2. Defining AI Governance Beyond MRM (00:01:05)
3. New Risks: Explainability, Drift, Security (00:03:55)
4. Global Rules, Local Nuance (00:07:48)
5. What Breaks When AI Scales (00:10:59)
6. Autonomy Versus Guided Agents (00:13:27)
7. Governance As An Innovation Enabler (00:16:02)
8. Proving Compliance With Audit Trails (00:18:08)
9. Trust, Transparency, And Market Credibility (00:19:14)
10. The Trend Drop: Autonomous Agents (00:21:52)
62 episodes
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