Teaching

Teaching

Courses in AI, machine learning, NLP, and quantitative finance at BSc, MSc, and PhD levels.

Current Courses (2024-2025)

Course Level Institution
Natural Language Processing MSc University of Twente
Deep Reinforcement Learning MSc University of Twente
Financial Information Systems BSc University of Twente / Bern Business School

Executive Education

  • Generative AI for CFOs, CFO Workshop MENA, Fall 2024. Workshop on AI’s business impact for 60+ CFOs.
  • CAS Sustainable Finance, University of Zurich, Switzerland, Fall 2021–2024. Module on AI in sustainable finance.
  • CAS Big Data & Distributed Ledger, ZHAW, Switzerland, 2019–2022. Director of Studies, Machine Learning in Finance.
  • Machine Learning and Deep Learning in Finance, ZHAW, Switzerland, 2021. Director of Studies, curriculum development and teaching.
  • Financial Technology, Horizon Europe Training Programme, 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 regulations.

Doctoral Training

  • Reinforcement Learning for Finance, University of Twente, Netherlands, June 2024. Co-Organizer and Trainer.
  • Methods for Fintech & AI in Finance, University of Naples, Italy, September 2024. Scientific Committee Member and Trainer.
  • Fintech and AI in Finance Training School, University of Twente, Netherlands, June 2024. Organizer and Trainer.
  • Advanced Statistical Modelling for Fintech & Financial Inclusion, University of Naples, Italy, September 2023. Lecturer.
  • European Summer School in Financial Mathematics, TU Delft, Netherlands, September 2023. Lecturer on Deep Reinforcement Learning.
  • Fintech & AI in Finance Training School, University of Twente, Netherlands, June 2023. Organizer and Trainer.
  • Fintech & AI in Finance: Training School for Latest Technologies, University of Tirana, Albania, April 2023. Lecturer.

PhD Supervision

Current PhD Students (Primary Supervisor)

  • Dennis Hoffmann, University of Twente, Netherlands Topic: AI and Asset Management (Industry cooperation with Quoniam Asset Management)Expected completion: 2029
  • Gabin Taibi, University of Twente, Netherlands Topic: Narrative Digital Finance and High-Frequency Trading Expected completion: 2027
  • Lennart Baals, University of Twente, Netherlands Topic: Network-Based Credit Models for P2P Lending Expected completion: 2026
  • Yiting Liu, University of Twente, Netherlands Topic: Network-Based Credit Models for P2P Lending Expected completion: 2026
  • Rahul Tak, ASE Bucharest Business School, Romania Topic: High-Frequency Market Microstructure and Machine Learning Expected completion: 2027
  • Fulvio Rado, BBU University, Romania Topic: Machine Learning for Financial Markets Expected completion: 2027

Completed PhD Supervisions

  • Dr. Piotr Kotlarz, University of Liechtenstein Thesis: The EUR/CHF Exchange Rate: Drivers, Forecasting, and Trading Strategies Role: Daily Supervisor, 2019 – 2023
  • Dr. Weilong Fu, Columbia University, USAThesis: Innovative Derivative Pricing and Time Series Simulation Techniques via Machine and Deep Learning Role: Co-Supervisor and PhD Committee Member, 2021 – 2022
  • Dr. Patchara Santawisook, Worcester Polytechnic Institute (WPI), USAThesis: Price Impact of VIX Futures and Two Order Book Mean-Field Games Role: PhD Committee Member, 2022
  • Dr. Branka Hadji Misheva, University of Pavia, Italy Thesis: Network-based Credit Risk Models Role: Daily Supervisor, 2019 – 2022
  • Dr. Martin Wiegand, University of Manchester, UKThesis: Extreme Value Theory and Distribution Theory Role: Daily Supervisor, 2017

Thesis Supervision

Supervised >37 Bachelor’s theses and >20 Master’s theses on topics including Machine Learning, Reinforcement Learning, Deep Learning, Artificial Intelligence in Finance, Credit Risk Management, FinTech, Digital Finance, Blockchain, Cryptocurrencies, and Quantitative Trading Strategies.

Selected Master’s Thesis Supervisions

  • Daniel Sam Attard, “Leveraging Uncertainty Information in Deep Learning for Algorithmic Trading”, MSc Artificial Intelligence, University of Malta, 2023
  • Alessandra Amato, “Applications of Early Warning Systems for Customer Segmentation of Wholesale Banking Clients”, MSc Business Information Systems, University of Twente, 2023
  • Daniel Chen, “Development of Financial Distress Prediction Model for Watchlist Classification of Wholesale Banking Clients”, MSc Industrial Engineering and Management, University of Twente, 2023
  • Luca Kozian, “Commodity Price Co-Movement: Comparing Models and Correlation Measures”, MSc Business Administration, University of Twente, 2023
  • Sebastian Goldmann, “Enhancing Credit Risk Prediction in Retail Banking: Integrating Time Series and Classical ML Algorithms”, MSc Industrial Engineering and Management, University of Twente, 2024

Open Positions

Accepting MSc thesis students for 2025. Topics include LLMs, Graph Neural Networks, Reinforcement Learning, and ESG Analytics.

How to Apply

Send to joerg.osterrieder@gmail.com:

  1. CV with academic transcript
  2. 1-page research proposal
  3. Indication of research area interest