Modelo de Segmentación para SARLAFT en R4G

Abstract

Under the observations previously made by the different regulatory agencies, the segmentation of risk factors for money laundering and the financing of terrorism does not contribute to an adequate categorization of clients to be able to control AML/LA risks. As a consequence, the business case herein detailed seeks to provide a Business Analytics tool that facilitates a segmentation model for the Risk Department of R4G, which aligns with the parameters established in the current regulatory framework of the company, and intends to identifying unusual operations and fortify the system for the management of risks associated with money laundering and the financing of terrorism.