White Paper

Developing Scenario Segmentation and Anomaly Detection Models - How analytics can be used for BSA/AML compliance programs

Company: SAS

SAS case study

Category: Regulation

Published: 02 May 2017

Format:

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Overview

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.

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