DCG Webinar | Next-Level MRM in Community Banking How to Address Changing Regulatory Expectations and Peer Practices
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Next-Level MRM in Community Banking: How to Address Changing Regulatory Expectations and Peer Practices

On-Demand Webinar (May 5, 2022)

Michael Guglielmo

Managing Director

Darling Consulting Group

With over 30 years of experience in strategic risk management, Mike Guglielmo has provided technical and strategic consulting to a diverse group of financial institutions. Mike is also a frequent author and top-rated speaker on a variety of financial and operational risk management topics and serves as Finance Council Chairman and board member for the Financial Managers Society and as a faculty member of the Association for Management Information in Financial Services (AMIfs) Institute.


During his tenure at DCG, Mike has served in various capacities, including director of financial analytics. In addition, he is a technical resource for the ongoing development of many of DCG's quantitative and strategic risk management products and services. Prior to joining DCG, Mike managed the ALCO and strategic planning processes for a regional bank in the northeast. Mike is a graduate of Fairfield University with a degree in economics.

Model Risk Management is rapidly evolving in the community, and mid-sized banking arena, particularly as regulators are now armed with a new and comprehensive model risk management examiner’s handbook. Attendees at this 75-minute webinar will gain meaningful insights into evolving regulatory expectations and peer/industry practices in key areas such as MRM governance, model management, validation standards, 3rd- and 4th-party model risk, and Fintech and AI/ML model onboarding.


LEARNING OBJECTIVES:

  • Current regulatory hot buttons emanating from the new examiner’s handbook release

  • Model management implications

  • Expanding validation standards and model management implications

  • Critical elements of a functional and sustainable MRM governance framework

  • How to successfully address 3rd- and 4th-party model risk including FinTech and AI/ML models

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