Preparing MRM for AI | Kisaco Research

Preparing MRM for AI

  • Managing the disruptive nature of AI
  • Preparing for the scale increase from traditional to AI models
  • Overcoming challenges in interconnected models
  • Reducing bias and ensuring ethics in AI modelling
Session Topics: 
AI/ ML
Speaker(s): 
Moderator

Author:

Julian Philips

Global Head of Model Risk Audit
HSBC
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Julian Philips

Global Head of Model Risk Audit
HSBC
Speakers

Author:

Ushnish Banerjee

EMEA QAG Vice President
Morgan Stanley

Ushnish is an experienced model risk practitioner with more than 10 years of experience across Banks (Morgan Stanley and HSBC) as well as consulting firms (Ernst and Young and KPMG). Ushnish has accrued skills and experience across credit risk (IRB/IFRS9/CECL), traded credit risk (IMM/CVA/IRC) and stress testing models across all three lines of defence. Ushnish has prior experience in conducting learning courses for risk.net.

 

... read more

Ushnish Banerjee

EMEA QAG Vice President
Morgan Stanley

Ushnish is an experienced model risk practitioner with more than 10 years of experience across Banks (Morgan Stanley and HSBC) as well as consulting firms (Ernst and Young and KPMG). Ushnish has accrued skills and experience across credit risk (IRB/IFRS9/CECL), traded credit risk (IMM/CVA/IRC) and stress testing models across all three lines of defence. Ushnish has prior experience in conducting learning courses for risk.net.

 

Author:

Rita Gnutti

Executive Director, Internal Validation and Controls, Group CRO Area
Intesa Sanpaolo
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Rita Gnutti

Executive Director, Internal Validation and Controls, Group CRO Area
Intesa Sanpaolo

Author:

Sanja Hukovic

Head of Model Risk Management
London Stock Exchange Group
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Sanja Hukovic

Head of Model Risk Management
London Stock Exchange Group