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Alternative Data in Risk Modeling

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Manage episode 301128718 series 1756199
内容由GARP提供。所有播客内容(包括剧集、图形和播客描述)均由 GARP 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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 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. -----------------------

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.

  continue reading

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Artwork

Alternative Data in Risk Modeling

GARP Risk Podcast

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Manage episode 301128718 series 1756199
内容由GARP提供。所有播客内容(包括剧集、图形和播客描述)均由 GARP 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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 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. -----------------------

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.

  continue reading

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