ProSight Model Risk Management Summit (Spring)
List Price
$1,400
Member Price
$1,200
Event Id:
700920572
Product code:
730005-26
Format:
Summit: In-Person
Date:
4/29/2026 - 4/30/2026
Registration Fees
| Members | $1,200 |
|---|---|
| Nonmembers | $1,400 |
Members qualify for savings.
Log in to see if you qualify for a lower rate, or become a member to save as much as $200 or more.
Item Details
The above early bird price is available until March 15, 2026. Beginning March 16, 2026 the price will be $1,300 for members and $1,600 for non-members.
Site Information:
Fairmont Dallas
1717 N Akard St
Dallas, TX 75201
To reserve a hotel room at the Fairmont Dallas at our $219 group rate, please book your room through the below link by March 29, 2026.
https://book.passkey.com/e/51208662
Event Dates & Times:
April 29, 2026 12:00 p.m. - 5:00 p.m. CT
April 30, 2026 8:00 a.m. - 12:00 p.m. CT
Now in its fifth year, ProSight's Model Risk Management Summit brings together financial industry risk management leaders committed to shaping the next generation of model and AI governance. This year's Summit will be held in Dallas, TX on the afternoon of April 29th and morning of April 30th.
Attendees will hear from members of the Model Validation Consortium and industry peer experts as they explore themes at the intersection of model risk, AI governance, data privacy, fraud prevention, operational risk, and compliance. Sessions will cover:
• AI regulatory activity at the federal and state level
• Governance frameworks for models and non-model tools
• Effective communication to management and boards
• Financial crimes and fraud risk mitigation in an AI-forward environment
• Oversight practices for AI and machine learning models
Who should attend?
This Summit is designed for professionals responsible for evaluating, governing, or overseeing models and AI-enabled tools, including:
• Model validators, quantitative analysts, and model governance teams
• Managers, team leads, and department heads in model risk management
• Enterprise risk, operational risk, compliance, and internal audit practitioners
Why attend?
Attendees will gain actionable insights, benchmark with peers, better understand regulatory expectations, and leave with practical ideas to enhance model and AI governance across their organizations.
