Aug 30, 2021
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.
Survey Says: Risk management key to resiliency in 2021 and beyond; click her to learn more and read the full report.
To view GARP's DE&I webcast, "Risk Modeling to Further Diversity and Inclusion", mentioned in this episode - click here.
Learn More: From Crisis to Opportunity: Redefining Risk Management | SAS
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.
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
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.