Financial Institutions Urged to Modernize Customer Risk Ratings with Machine Learning
Customer Risk Ratings (CRRs) remain a foundational element of anti-money laundering (AML) and counter-terrorist financing (CFT) systems. Yet many financial institutions continue to rely on outdated models that hinder effectiveness, according to a recent report by Consilient in collaboration with Richard Hills of K2 Integrity. Traditional CRR methods often rely on static customer data, manual […]
