Searching for Smurfs: Testing if Money Launderers Know Alert Thresholds
R. Jensen, J. Ferwerda, and C. Wewer (2026), Journal of Quantitative Criminology
About me
I am a globally recognized expert on AI, machine learning, and data-driven 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 PhD in Electrical and Computer Engineering and am a member of Transparency International's Global Expert Network. My PhD was an industrial PhD, 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].
Scientific Publications
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 as a PDF download)
Do Awareness Campaigns Reduce Financial Fraud?
R. Jensen, J. Gerlings, and J. Ferwerda (2025), European Journal on Criminal Policy and Research
Software Vulnerability and Functionality Assessment using LLMs
R. Jensen, V. Tawosi, and S. Alamir (2024), 3rd Int. Workshop on NL-based Software Engineering, Lisbon, Portugal
A Synthetic Data Set to Benchmark Anti-Money Laundering Methods
R. Jensen, J. Ferwerda et al. (2023), Scientific Data
Fighting Money Laundering with Statistics and Machine Learning
R. Jensen and A. Iosifidis (2023), IEEE Access
Qualifying and Raising Anti-money Laundering Alarms with Deep Learning
R. Jensen and A. Iosifidis (2023), Expert Systems with Applications
Invited Presentations, Committee, and Professional Memberships
7th Annual Bahamas Research Conference on Financial Crime, Nassau, the Bahamas, 2026
Presentation: Do More Suspicious Transaction Reports Lead to More Convictions for Money Laundering?
Workshop on AI in Finance, Bologna, Italy, 2025
Membership of the Workshop's Program Committee
Workshop on AI for Financial Crime Fight, Washington DC, the United States, 2025
Membership of the Workshop's Technical Program Committee
Transparency International’s Expert Network, Berlin, Germany, 2024
Membership of Transparency International’s Expert Network, recognized for my expertise on illicit financial flows
Workshop on AI for Financial Crime Fight, Abu Dhabi, United Arab Emirates, 2024
Membership of the Workshop's Technical Program Committee
Forum for Knowledge and Cooperation: AML/CFT & Financial Crime, Copenhagen, Denmark, 2024
Presentation: The Risk-based Approach
SAS EMEA Customer Connection for Fraud and Financial Crimes, Copenhagen, Denmark, 2023
Presentation: Practical Research Perspective on Machine Learning for Anti-Money Laundering
AML Netherlands, Leaders in Finance, Amsterdam, the Netherlands, 2023
Presentation: Criminals generate new methods of money laundering daily, should we allow our AI to become generative as well?
AML Europe, Leaders in Finance, Brussels, Belgium, 2023
Presentation: Threats and opportunities of AI in AML
The Serious Organised Crime and Anti-Corruption Evidence Research Program, Birmingham, the United Kingdom, 2022
Presentation: Revealing Hidden Transactions