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Finance Experts to Address Uncertainties Around ‘Model Governance’

Representatives from major banks and technology companies to participate in panel discussion

Although commonly used and discussed in the vocabularies of SR11-7, CCAR, TRIM and the PRA 2017 Stress Test Guidance, there is a great deal of uncertainty surrounding what ‘Model Governance’ really means, and how institutions and their regulators are defining and implementing it.

In a bid to achieve clarification, MathWorks, the leading developer of mathematical computing software, and the Professional Risk Managers' International Association (PRMIA), are holding a panel session to examine some of the issues.

When: 5:30pm on Tuesday 27th June 2017
Where etc. Venues St Paul's, 200 Aldersgate

Panellists:
• Dr. Lars Popken, Global Head of Risk Methodology, Deutsche Bank
• Diederick Potgieter, Senior Technical Specialist, Capital Management, PRA, Bank of England
• Paul Peeling, Senior Technical Consultant, MathWorks

What:
During the event, panellists will present their thoughts on the following themes:
• What does model governance actually mean?
• How synchronised are the regulators on what model governance is and isn’t?
• What characteristics underpin good model governance in finance? How far can model governance be generalised and how far is it application/segment/asset class-specific?
• What can we learn from other industries, for example the “safety critical” aerospace, automotive and medical industries?
• What are good model selection criteria? How can the industry mitigate against model bias?
• Can machine learning methods help or hinder good model governance?
• What are good examples of challenger models and model infrastructures?
• With the election of Donald Trump and the tendency towards rolling back regulation, what is the future for model governance?

Sponsors:
MathWorks is the leading developer of mathematical computing software. Its product
MATLAB is widely used by leading financial institutions to develop models and simulations for financial risk management. It enables companies to build customised risk models, perform Monte Carlo simulations, and analyse scenarios to assess risk exposure from financial activities. Working with PRMIA, therefore, was a logical alliance.

PRMIA is a global non-profit professional association which aims to provide an open forum for the development and promotion of the risk profession.

 
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