This GFMI industry-working group will provide practical and experienced perspectives to help financial firms manage their model risk whilst existing in a volatile environment and emerging models. The central challenges that will be addressed will be adjusting model risk management practices in the current macro-economic environment, understanding the appropriate risk practices for machine learning models, defining the best practices for the management of climate and cyber risk models and ensuring effective oversight of modelling processes; Experts in this field will discuss how best to manage model risk in an unprecedented macro-economic environment to achieve an effective management of the risk that the environment poses to financial institutions.  


Key Themes:

  1. Benchmark apt strategies to enhance model risk management in the current rate environment
  2. Investigate the necessary model risk management frameworks that need to be developed for machine learning models
  3. Create a comprehensive model risk management framework to streamline governance and compliance strategies
  4. Optimize your model documentation processes to handle an evolving model landscape and model inventory
  5. Explore methodologies to address and manage emerging cyber and climate risk models
  6. Review the best practices to develop and ingrain a culture of model risk management within your institution

Key Speakers Include:

  • Stefan Szilagyi, Model Risk Examination Manager, Federal Housing Finance Agency
  • Daniel Tu, SVP, Model Validation Senior Group Manager, PNC
  • Emre Balta, SVP, Model Risk Management, First Citizens Bank
  • Steve Zhou, Managing Director, Model Risk Management, Webster Bank
  • Mitchell Button, SVP, Director of Financial Model Validation, U.S. Bank
  • Aruna Joshi, Head of Model Risk Management, Visa

For more information, please contact Mr Ayis Panayi at, or visit the website here.

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