On-Demand Webinar

Economic Downturn: How Credit Risk Managers Can Prepare for Better Outcomes

Cost: Complimentary
Duration: 45 minutes

About the webinar

It is quite certain that there will be a global economic downturn due to the effects of dealing with the COVID-19 pandemic. Credit risk managers in financial institutions are taking a variety of actions to protect their portfolios in the short term. In addition, they also need to plan ahead to be better prepared for the mid term, and increase corporate resiliency in dealing with such events. This session will explain what leading banks are doing, and provide guidance on how banks can plan their future and assess their end to end model lifecycle to become more efficient.

What you'll learn

  • What credit risk managers can do in the short term to manage risk
  • How you can tell if your models are still useful
  • What banks can do in the short term and long term to be better prepared and more resilient in dealing with the economic downturn
  • What AI and ML can do to improve the situation

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About the Experts


Naeem Siddiqi
Senior Advisor, Risk & Quantitative Solutions, SAS Global

Naeem Siddiqi is a Senior Advisor in the Risk Research and Quantitative Solutions division at SAS, where he advises C-level bankers on issues around credit scoring and decisioning, risk strategy, climate change risk, AI/ML in credit risk and modernizing analytics infrastructures. He has worked in retail credit risk management since 1992, both as a consultant and as a risk manager at financial institutions, during which time he has educated bankers in more than 20 countries on the art and science of credit scoring.

Naeem is also the author of Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards (Wiley and Sons, 2017) and Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring (Wiley and Sons, New York, 2005). He has an honors bachelor’s degree in engineering from Imperial College of Science, Technology and Medicine at the University of London and an MBA from York University in Toronto.


Tony Cartia
Practice Leader in Risk Modeling & Decisioning, SAS EMEA

As Practice Leader in Risk Modeling & Decisioning, Tony drives innovation of SAS's portfolio of solutions for Risk Modeling, including Machine Learning & AI, initiatives across EMEA (Europe, Middle East, and Africa). He works closely with R&D, product management, industry consultants, pre-sales systems engineers and customers to define solution direction based on market and customer demands. Tony holds a degree in Statistics, he covered role of Data Scientist in PwC for the banking sector before joining SAS.

 

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