Published: 02 May 2017
The economic cost to perform Anti-Money Laundering (AML) compliance can no longer be ignored by firms, many of which are already struggling to make a profit in an ever-evolving competitive market.
Enhanced regulatory pressure requires continuous evaluation of a bank's risks. To meet these demands, the BSA/AML industry has turned to analytical and statistical methodologies to improve their monitoring programs.
This white paper explores how segmentation models can help organisations significantly increase AML monitoring. It further explains how to blend both quantitative and qualitative methods to identify activity that poses the most risk to a bank.