This book is unique in placing the prescriptive and program elements within the 'risk-based approach'that is foundational to AML/CFT compliance and the related risk management systems. Relatedly, the book describes corporate governance best practices and the 'three lines of defense' model that hold management accountable for exposure to money laundering and terrorist financing risks created by their business strategies. The book includes practical guidance on AML/CFT and sanctions model risk management, reflecting firms' growing reliance on machine learning and AI compliance solutions and the compliance risk of firms that adhere to Federal Reserve model risk management expectations. Also unique in the literature, it identifies a 'compliance paradox' that arises from the sharp tension between firms' modes of generating revenue and the law enforcement focus of AML/CFT and sanctions regulation and explains how this tension can compromise compliance.
Anti-Money Laundering Regulation and Compliance also serves as a go-to guide for practitioners and beginners in the field or as a required text in graduate, certificate, and law school programs.
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