FinRegLab is extending its investigation of the adoption of artificial intelligence in financial services through a policy analysis focused on the growing use of machine learning models for underwriting credit and a January 17 webinar with senior federal financial regulators to discuss generative AI and other recent developments.
David Palmer
Lead Supervisory Financial Analyst in the Division of Banking Supervision and Regulation
David Palmer is a lead supervisory financial analyst in the Division of Banking Supervision and Regulation at the Federal Reserve Board. He focuses on several primary topic areas, including banks’ model risk management practices, banks’ and supervisors’ stress testing activities, banks’ capital planning practices, validation of supervisory stress testing models, and banks’ use of new financial technologies. He engages in both policy-related projects as well as on-site examinations. David was a primary author of the Federal Reserve’s Supervisory Guidance on Model Risk Management (SR 11-7), issued in April 2011 jointly with the OCC (and more recently with FDIC), and continues to lead the implementation of that guidance within the Federal Reserve. More recently, David has been involved in evaluating supervised firms’ use of fintech, including artificial intelligence/machine learning. He has a bachelor’s degree from Oberlin College and a master’s degree from Georgetown University.