Hear from Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS, as we discuss the impact of current market trends on asset liability management With a possible recession looming and inflation near its highest levels since the 1980s, navigating around balance sheet issues remains complex. In this first of a series of podcasts on asset and liability management (ALM) featuring academic and industry experts, we will tackle the following topics: ·         The current regulatory and marketplace-driven challenges for risk analytics ·         How to handle term structure modeling in times of rising interest rates and inverted yield curves ·         Requirements for quantitative approaches in ALM in the current environment Speaker Bio Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS Dr. Donald van Deventer joined the Risk Research and Quantitative Solutions group at SAS Institute, Inc. in June 2022 through SAS’ acquisition of his previous firm, the Kamakura Corporation. He founded Kamakura in 1990 and served as Chairman and Chief Executive Officer until the acquisition. Dr. van Deventer's emphasis at SAS Institute, Inc. is enterprise-wide risk management and modern credit risk technology. His primary financial consulting and research interests involve the practical application of leading-edge financial theory to solve critical financial risk management challenges. Over the years, GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to risk management. This time, we are partnering on a brand-new podcast, Risk and Resiliency to take a closer look at ways to face the challenges ahead, to be more agile, vigilant, and quickly adapt to shifting market conditions.   About SAS As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at www.sas.com/risk