Jörg Robert Osterrieder is Associate Professor of Finance and Artificial Intelligence at the University of Twente (Netherlands) and Professor of Finance at UASG (Switzerland). His work focuses on the integration of artificial intelligence, machine learning, quantitative finance, risk management, and digital finance. He teaches and supervises students at the bachelor’s and master’s level, with particular emphasis on machine learning, reinforcement learning, and applications of AI in financial contexts.
Dr. Osterrieder coordinates the Marie Skłodowska-Curie Action Industrial Doctoral Network on Digital Finance, a €3.8 million EU-funded PhD training
program that brings together more than 20 institutions and over 100 researchers. He is also Chair of the European COST Action on FinTech and AI in Finance (2020–2024), a collaborative network of 400 academics across 51 countries. In Switzerland, he serves as Principal Investigator for several research projects funded by the Swiss National Science Foundation, and contributes to the Steering Committee of the Luxembourg National Research Fund’s NCER Financial Technologies initiative.
In collaboration with financial institutions and regulatory bodies—including ING, the European Central Bank, the Bank for International Settlements, Deutsche Börse, Quoniam Asset Management, and QCAM Currency Asset Management—he works on topics such as AI-based portfolio optimization, credit risk modeling, and supervisory technology. Earlier in his career, he held quantitative and leadership positions at Man Investments, Credit Suisse Group, Goldman Sachs, and Merrill Lynch.
His academic work includes more than 25 peer-reviewed journal publications and numerous book chapters and conference proceedings. His research spans machine learning in finance, high-frequency trading, AI-based risk management, credit risk assessment, and the technological foundations of digital assets and blockchain. He is a regular speaker at international events, including the European Financial Regulation Conference, FinTech Days Tirana, and the Columbia-Bloomberg Machine Learning in Finance Conference.
Dr. Osterrieder holds editorial roles at several journals, including Frontiers in Artificial Intelligence in Finance, Frontiers in Financial Risk and Blockchain, Digital Finance (Springer), and the Journal of Investment Strategies. He has also served as guest editor for special issues on fintech, AI in finance, and cryptocurrencies, and actively reviews for journals in financial mathematics and quantitative finance.
He holds a Ph.D. in Mathematics from ETH Zürich, a Master’s in Mathematics from Syracuse University, and a Master’s in Business Economics from the
University of Ulm. His work has been recognized with several awards, including the 2024 IETI Researcher Award, designation as a Top 20 European Quant & Finance Professor by Rebellion Research, and a Best Paper Award from the Journal of Risk and Financial Management. In 2016, he was a finalist for the Teaching Award at Zurich University of Applied Sciences.
He is a member of the Swiss Risk Association, Bachelier Finance Society, European Mathematical Society, European Finance Association, and American
Finance Association. His work and commentary have appeared in international media outlets such as the Financial Times, The Sunday Times, SocietyBytes Science Magazine, Netzwoche Magazine, and Greater Zurich Area News.
