A quantitative approach to estimate trade-based money laundering Risk

Joras Ferwerda in front of Ugland House on the Cayman Islands
Researcher Joras Ferwerda in front of Ugland House on the Cayman Islands. Barack Obama referred to Ugland House as "the biggest tax scam in the world", raising questions over the number of companies with a registered office in the building.

Identifying trade-based money laundering cases among the millions of trade transactions in the Netherlands is like finding a needle in a haystack. Law enforcement agencies would be able to use their resources more effectively and efficiently when they can target trade transactions with higher trade-based money laundering risks.

This project explores how advanced data analysis can help to estimate these trade-based money laundering risks. The Dutch Anti-Money Laundering Centre supports this project with expertise, budget, and data access.  

Researcher

dr. Joras Ferwerda

Partners

Dutch Anti Money Laundering Centre (AMLC)