Toronto Chapter

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Regional Directors

  • Andreea Amariei, Associate Vice President, TD Securities
  • Victoria Guo, Associate Director, Soctiabank

Steering Committee

  • Amanda Tang, Director, Credit Capital Markets, National Bank Financial
  • Anthony Okuefuna, Managing Director, Stress Testing, Risk Modelling & Analytics, Risk Management
  • Crysler Paton, Associate Director, Market Risk, RBC
  • Errol D'Souza, Financial Risk Manager, American Express Bank of Canada
  • Jeff d’Avignon, Senior Sales Executive, IBM Canada Ltd.
  • Magdalena Kraljevska, PnL and Risk Analyst, TD
  • Mihaela Capra, Assistant Vice President, Sun Life Financial
  • Nam Nguyen, Quantitative Analyst, PwC
  • Rachel Liang, Lead, Business Analysis, Global Risk Analytics, RBC Capital
  • Vivian Young, Associate, Risk Management, TD Asset Management
  • Vuk Magdelini, Manager, PwC

Advisory Committee

  • Graham Pugh, VP, Investment Risk Management, OMERS

Events Committee

  • Oliver Bucher, Associate, Risk Control Analytics – Corporate Banking, BMO Capital Markets
  • Shawn Gardy, Financial Services, CIBC
  • Victoria Arkhurst, Associate Director, Arkhurst Consulting Inc
  • Yegor Sorokin, Audit Manager, Internal Audit - Capital Markets Risk Management, CIBC

To connect with your local chapter contact toronto@prmia.org.

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News

Intelligent Risk Highlight - April Edition - How to Develop Risk Appetite Statements

Posted on 7/9/2020
The development of risk appetite statements is conceptually difficult; moreover, creating statements that management can use, and that applies to day-to-day operations has been extremely challenging if not impossible.

Intelligent Risk Highlight - April Edition - Aggregated Vendor Risk - the Cyber Security Blind Spot

Posted on 7/8/2020
Companies in all industries are relying on hundreds, sometimes thousands, of vendors to manage the complexity of today’s business landscape. This web of vendors can include suppliers, contractors, SaaS, PaaS and IaaS.

Intelligent Risk Highlight - April Edition - De-biasing Financial Models

Posted on 6/30/2020
A body of literature and social media has emerged in recent years, calling attention to the possibility that some models used by financial institutions to analyze risks and make important decisions may contain unintended biases.


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