A Quantitative Approach to Estimate Trade-Based Money Laundering Risk
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.
dr. Joras Ferwerda
Dutch Anti Money Laundering Centre (AMLC)