Model Risk Management for Financial Institutions
Finance
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Model Risk Management for Financial Institutions

May 18, 2026 - May 20, 2026 08:30 - 17:30 TBC (Central London Hotel), London 85 Views
Complete Details

As financial institutions increasingly rely on sophisticated algorithms to drive everything from credit scoring to algorithmic trading, the discipline of Model Risk Management (MRM) has never been more vital. The Marcus Evans Model Risk Management for Financial Institutions conference in London focuses on the unique challenges posed by the rapid adoption of Artificial Intelligence (AI) and Generative AI (GenAI). Unlike traditional static models, modern AI systems are often non-deterministic, creating a "black box" problem that complicates validation and regulatory oversight.

This conference brings together the brightest minds in quantitative finance and risk governance to dismantle these challenges. Speakers will provide deep dives into the latest validation techniques for Machine Learning models, emphasizing how to track "model drift" and ensure that outputs remain within ethical and legal boundaries. A major theme for 2026 is the harmonization of legacy risk frameworks with new, agile AI infrastructures. Attendees will learn how to build an integrated model inventory that accounts for the varying risk profiles of traditional statistical tools versus complex neural networks.

Beyond the technical side, the event addresses the human element of risk. Sessions will explore the role of the AI Ethics Officer and how to foster a culture of transparency within data science teams. Through interactive workshops, participants will practice stress-testing models against extreme market scenarios and geopolitical shocks. By attending, model risk professionals will gain the tools to satisfy regulators while enabling their firms to innovate safely. It is an essential forum for anyone responsible for the integrity and stability of financial models in an AI-driven world.

Key Event Highlights

Managing GenAI and Machine Learning model validation risks. Ensuring ethical decision-making and transparency in AI models. Harmonizing traditional model frameworks with emerging tech. Regulatory compliance strategies for non-deterministic outputs. Inventory management for complex model landscapes.

Venue & Location Info

TBC (Central London Hotel)

Central London, London, UK , London

NAVIGATE TO VENUE
Timings
May 18-May 20, 2026
08:30 - 17:30 (BST (UTC+1))
Entry Fees
Official Ticketing
Event Type
Conference
In-Person Event
Estimated Turnout & Audience
Heads of Model Risk, Data Scientists, Quantitative Analysts, AI Ethics Officers, Risk Governance Leads
0
Interested
85+
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Admission Status
Timing 08:30 - 17:30
Audience Heads of Model Risk, Data Scientists, Quantitative Analysts, AI Ethics Officers, Risk Governance Leads

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