13th Edition Model Risk

  • Start Date:28 Jan, 2019
  • End Date:30 Jan, 2019
  • Venue:San Francisco, USA

This GFMI conference will facilitate financial firms with generating high quality models whilst offering a regulatory update on expectations. Best practices for validating artificial intelligence (AI) and machine learning models will be investigated, and methods to capitalize on these next generation technologies for model development will be explored. You will learn how to implement effective validation techniques for Anti-Money Laundering (AML) and fraud models alongside exploring the symbiotic relationship between banks and fintechs within the model risk landscape. The lack of clarity surrounding methods for effective internal stress tests for smaller banks below $50 billion will be discussed along with the continued implementation of a strong governance programme to assess and report model risk.

Attending this event you can learn from key practical case studies:

  • Bank of America and Wells Fargo evaluate the impact of AI and machine learning on model validation
  • American Express explore the impact of machine learning on the credit card model
  • MUFG Union Bank examine the staffing question for MRM teams
  • Pacific Western Bank and Comenity Bank investigate a strong governance framework to assess and report model risk
  • Silicon Valley Bank study the impact of machine learning on the development of AML and fraud models

For more information please visit http://bit.ly/2RVm2Ek or contact Yiota Andreou at yiotaa@marcusevanscy.com

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