Machine Learning in Credit Risk Webinar

Authored by: R2A
April 18, 2018 - 1 min read
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In this webinar, Bart Van Liebergen presented the findings from a global survey of 60 firms (58 banks and 2 mortgage insurers) on machine learning in credit risk. The webinar covered the following:

  • state of adoption or exploration of machine learning;
  • the specific techniques;
  • areas of application;
  • benefits and challenges;
  • data issues;
  • model governance and regulation; and
  • implications for policymakers and supervisors.

Date and Time

April 18, 2018 9:00 AM in Eastern Time (US and Canada)

Earlier Event: February 16

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