■ 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.
