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August 30, 2021

Alternative Data in Risk Modeling

In this episode we begin a four part series looking at Responsible AI by looking at Alternative Data in risk Modeling. Over the course of the coming months we will also look at Explainable / Interpretable AI Fairness and Bias in AI and the new frontier of climate models. 

We will conclude the series with a wraps up webcast in January of 2022 - click here to register.

To view GARP's DE&I webcast "Risk Modeling to Further Diversity and Inclusion" mentioned in this episode - click here

Speaker Bio

Terisa Roberts is a well-rounded risk management professional with 15 years of risk management experience working predominantly in the financial services sector. She is currently a Director and Global Solution lead for Risk Modeling and Decisioning at SAS.

She has extensive experience in risk modeling topics for retail and commercial portfolios including regulatory capital stress testing and IFRS9/CECL. She advises banks other financial services providers as well as regulators on innovations in Risk Modeling and Decisioning including Artificial Intelligence and Machine Learning.

She holds a Ph. D in Operations Research and Informatics and lives in Sydney Australia with her family.

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Over the years GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to financial risk and have partnered on this episode of our COVID podcast series.

About SAS

As a leader in analytics SAS has more than 40 years of experience helping organizations solve their toughest problems. Our unrelenting commitment to innovation enables banks to modernize and sustain a competitive edge. SAS provides an integrated enterprise-wide risk-management platform for managing risk in an organization from strategic to reputational operational financial or compliance-related risk management. Learn more about how SAS is driving innovation and business value for risk and finance professionals at www.sas.com/risk.

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