MLinAML - Machine Learning for Anti Money Laundering

Abstract

MLinAML — Machine Learning applied to Anti Money Laundering. Using a tree boosting model on real customer and transaction data, we attempt to automate detection of suspicious financial transaction. The method was developed within the research center BigInsight, in cooperation with DNB. Martin will also mention ongoing work applying Graph Neural Network modeling to AML.