3 techniques to improve AML transaction monitoring strategies
Fight back against sophisticated money launderers with these 3 techniques.
Author
Nuth Ratanachu-ekRSS
Financial Crime Consultant
Financial Crime Consultant
Nuth is a Financial Crime consultant at SAS Asia Pacific. He has over 10 years of professional services experience for implementing fraud and AML programs for financial institutions. His specialties is on the intersection between AI/Machine Learning and financial crime where he helps SAS customers setup and improve efficiency and effectiveness of their overall fraud and AML programs.
A practical guide to improve the effectiveness of watch list screening
Watch list screening has been one of the rules with highest false-positive rate. Watch list screening has been one of the pillars for know your customer (KYC) and anti-money laundering (AML) regulatory requirements since the beginning. It was introduced to prevent known criminals (or known high risk entities) from utilizing
Using optimization to define weights and parameters for customer risk rating models
Customer risk rating models play a crucial role in complying with the Know Your Customer (KYC) and Customer Due Diligence (CDD) requirements, which are designed to assess customer risk and prevent fraud. Today, the most common form of the Customer Risk Rating model is a score-based risk rating model. This