This course is designed to provide attendees with a best practice guide to building a robust model risk management framework. In-depth presentations will cover a broad range of topics including model validation and performance analysis, utilising machine learning, governance and the impact of CECL.
The third edition of our practical and informative model risk management training is returning to New York this December.
This course has been designed to delve into the best practice approaches for building a model risk framework and the sessions will be led by expert speakers from a range of consultancies and financial institutions. The course is held under Chatham House Rule to promote an open and discussion based learning environment.
What Will You Learn?
By the end of the two days delegates will have new or improved knowledge of:
Best practice approaches to building a model risk management framework
Effective methods for model validation and related performance analysis reviews
Pricing models and prudent valuation and how to establish frameworks for both
CECL regulation and its impact on model risk management
Machine learning and AI and how to embrace it in the context of model validation
The history of model risk, capturing model interconnectivity and governance
Who Should Attend?
Relevant departments may include but are not limited to:
Model Risk and Validation
Downtown Conference Center
157 William Street
Toll free- 877-DCC-MEET (322-6338)