Kay Giesecke is Professor of Management Science and Engineering at Stanford University and is the founder, Executive Chairman and Chief Scientist of Infima Technologies, a capital markets technology company building transformative prediction systems for fixed-income market participants. At Stanford, Kay is the Director of both the Advanced Financial Technologies Laboratory and the Mathematical and Computational Finance Program and is a member of the Institute for Computational and Mathematical Engineering. He also serves on the Governing Board and Scientific Advisory Board of the Consortium for Data Analytics in Risk.
Much of Kay’s work is driven by important applications in areas such as credit risk management, investment management, and, most recently, housing finance. Together with his students at Stanford, Kay has pioneered the core elements of the deep learning and computational technologies underpinning Infima’s solutions and has co-authored five patents. His research has been funded by the National Science Foundation, JP Morgan, State Street, Morgan Stanley, Swiss Re, American Express, Moody’s, and several other organizations.
Kay has published numerous articles in operations research, probability, and finance journals. He is an Editor of Management Science in the Finance Area and an Associate Editor for Mathematical Finance, Operations Research, SIAM Journal on Financial Mathematics, Finance and Stochastics, Mathematics and Financial Economics, Journal of Credit Risk, and Journal of Risk.
Kay has won the JP Morgan AI Faculty Research Award (2019), the SIAM Financial Mathematics and Engineering Conference Paper Prize (2014), the Fama/DFA Prize for the Best Asset Pricing Paper in the Journal of Financial Economics (2011), and the Gauss Prize of the Society for Actuarial and Financial Mathematics of Germany (2003). Kay is the recipient of the Management Science & Engineering Graduate Teaching Award (2007), a DFG Postdoctoral Fellowship (2002-03), and a Deutsche Bundesbank Fellowship (2002).
Kay advises several financial technology startups and has been a consultant to banks, investment and risk management firms, governmental agencies, and supranational organizations.