Risk-Based Approach & examples of Machine Learning Application
By François Ducuroir and Maciej Sterzynski
On 27 and 28th of October 2016, the Union of Arab Banks held, in Beirut, its annual forum for heads of AML/CFT* compliance units.
At this occasion, Reacfin’s managing partners, François Ducuroir and Maciej Sterzynski, presented our experience with regard to current market practices and upcoming solutions in this matter.
Among other we discussed:
- practical aspects of idesigning and deploying Risk-Based solutions for Anti-Money Laundering purposes, and
- hands-on examples for using Machine Learning algorithms (i.e. Artificial Intelligence techniques) to identify relevant variables for an efficient identification of supiscious Money Laundering or Terrorism Financing behaviors.
Interested readers will find here the slides of this presentation: