Jörg Robert Osterrieder has extensive teaching experience across executive education, doctoral, master's, and bachelor's levels. He has delivered executive training to senior professionals and executives, including workshops on generative AI, sustainable finance, machine learning, algorithmic trading, and financial regulation for organizations such as UBS, Deutsche Börse, and the University of Zurich.
At the doctoral level, he has co-organized and taught courses on reinforcement learning, fintech, and AI in finance at institutions including the University of Twente, University of Naples, TU Delft, and University of Tirana.
He has developed and coordinated master's-level courses in areas such as reinforcement learning, information systems for finance, AI in business, data science, and digital finance at the University of Twente, University of Münster, Bern Business School, and Bucharest Business School.
At the bachelor's level, Dr. Osterrieder has designed and taught courses covering digital finance, artificial intelligence, machine learning, empirical methods, quantitative risk management, and mathematical models in finance, with appointments at Bern Business School and ZHAW.
· Generative AI for CFOs | CFO Workshop MENA | Fall 2024 | Workshop on AI’s business impact for 60+ CFOs.
· CAS Sustainable Finance | University of Zurich, CH | Fall 2021–2024 | Module on AI in sustainable finance.
· CAS Big Data & Distributed Ledger | ZHAW, CH | 2019–2022 | Director of Studies, Machine Learning in Finance.
· Machine Learning and DL in Finance | ZHAW, CH | 2021 | Director of Studies, curriculum and teaching.
· Financial Technology | Horizon Europe | 2017–2020 | Research and training on fintech at European Central Banks.
· Algorithmic Trading – Latest Developments | Deutsche Börse | 2019 | Workshop on algorithmic trading for senior executives.
· Basel IV and Beyond – Latest Regulations | UBS | 2019–2020 | Training for 100+ UBS employees globally on Basel IV.
· Reinforcement Learning for Finance | University of Twente, NL | June 2024 | Co-Organizer & Trainer.
· Methods for Fintech & AI in Finance | University of Naples, Italy | Sept 2024 | Scientific Committee, Trainer.
· Fintech and AI in Finance Training School | University of Twente, NL | June 2024 | Organizer & Trainer.
· Advanced Statistical Modelling for Fintech & Financial Inclusion | University of Naples, Italy | Sept 2023 | Lecturer.
· European Summer School in Financial Mathematics | TU Delft, NL | Sept 2023 | Lecturer Deep Reinforcement Learning.
· Fintech & AI in Finance Training School | University of Twente, NL | June 2023 | Organizer & Trainer.
· Fintech & AI in Finance: Training School for Latest Technologies | University of Tirana, Albania | April 2023 | Lecturer.
· Information Systems for the Financial Services Industry | University of Twente, NL | Annually since Spring 2025 | Coordinator. Developed curriculum.
· Reinforcement Learning in Finance | University of Twente, NL | Annually since Spring 2022 | Developed curriculum (40%).
· Information Systems for the Financial Services Industry | University of Twente, NL | Spring 2022–2024 | AI in Finance.
· Artificial Intelligence for Business | University of Twente, NL | Spring 2022–2024 | Deep RL in Finance.
· Data Science for Business | University of Münster, DE | Spring 2022, 2023 | AI Business Models.
· Digital Finance | Bern Business School, CH | Fall 2023, 2024 | ML and AI in finance.
· Statistics for Finance | Bucharest Business School, RO | Spring 2024 | Invited International Lecturer.
· Digital Finance | Bern Business School, CH | Fall 2022–2024 | Developed curriculum on ML and AI.
· AI and ML for Finance | Bern Business School, CH | Fall 2022–2024 | Introduced ML algorithms using Python.
· Empirical Methods in Finance | ZHAW, CH | Spring 2022 | Developed curriculum.
· Introduction to Interest Rate Theory | ZHAW, CH | Spring 2018, 2019 | Focus on interest rate models.
· Quantitative Risk Management | ZHAW, CH | Spring 2015–2017 | Extended course with latest methods.
· Mathematics of Financial Markets I | ZHAW, CH | Spring 2015–2016 | Asset pricing, financial markets.
· Mathematics of Financial Markets II | ZHAW, CH | Fall 2015–2016 | CAPM and APT models.
· Topics in Financial Engineering | ZHAW, CH | Spring 2016–2022 | Focus on real-world use cases.