Transaction Monitoring in Search of Professional Money Launderers – a Microeconomic Model
K. Rose and R. Jensen (2025). Journal of Financial Regulation and Compliance. Accepted manuscript available here.
I am a globally recognized expert on anti-financial crime and compliance.
As an independent consultant, I have worked for the British Financial Conduct Authority, multiple systemically important banks, and a major US technology company (FAANG).
I hold a Ph.D. in Electrical and Computer Engineering and am a member of Transparency International’s Global Expert Network. My Ph.D. was an industrial Ph.D., meaning I spent half my time at a bank, building, deploying, and monitoring anti-financial crime models and systems in real-world production environments.
Next to my freelance consulting work, I serve as an external/part-time lecturer and researcher on financial crime and compliance at Copenhagen Business School, Denmark.
I have the right to work in both the European Union and the United Kingdom, the latter through a UK Global Talent Visa endorsed for Exceptional Talent by Tech Nation UK.
Feel free to reach out to me regarding both industry engagements and research collaborations at [email protected].
K. Rose and R. Jensen (2025). Journal of Financial Regulation and Compliance. Accepted manuscript available here.
R. Jensen, J. Gerlings, and J. Ferwerda (2024). European Journal on Criminal Policy and Research.
R. Jensen, V. Tawosi, and S. Alamir (2024). 3rd Int. Workshop on NL-based Software Engineering, Lisbon, Portugal.
R. Jensen, J. Ferwerda et al. (2023). Scientific Data.
R. Jensen and A. Iosifidis (2023). IEEE Access.
R. Jensen and A. Iosifidis (2023). Expert Systems with Applications.
R. Jensen, J. Ferwerda, and C. Wewer (2023). Sixth Annual Bahamas Research Conference on Financial Crime.
Membership of the Workshop's Program Committee.
Membership of the Workshop's Technical Program Committee.
Membership of Transparency International’s Expert Network, recognized for my expertise on illicit financial flows.
Membership of the Workshop's Technical Program Committee.
Presentation: The Risk-based Approach.
Presentation: Practical Research Perspective on Machine Learning for Anti-Money Laundering.
Presentation: Criminals generate new methods of money laundering daily, should we allow our AI to become generative as well?
Presentation: Threats and opportunities of AI in AML.
Presentation: Revealing Hidden Transactions.