Detecting illicit financial flows require much more than using traditional business methods. At this point, using centrality metrics in investigation and analytical models will provide wider detection approaches.
Author
Using centrality metrics to detect illicit financial flows
Using K Nearest Neighbours algorithm in scenario tuning
K Nearest Neighbour is an algorithm that stores all the available observations and classifies the new data based on a similarity measure.
A new line of defence for AML teams?
Recent high-profile money laundering cases have affected the reputation of the EU's financial system. In response, the European Commission is taking immediate action – faster than ever – to close the gaps. On November 2018, only six months after the adoption of the Fifth EU Anti-Money Laundering Directive (5AMLD), the