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Deconstructing Money Laundering Risk
De-risking, the Risk-based Approach and Risk Communication
Buch von Noémi També Bearpark
Sprache: Englisch

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Beschreibung
This book examines the interpretation of the risk-based approach (RBA) and its application across the banking industry. It explores the ways conflicting risk interpretation and deconstruction of money laundering risk have unintended consequences across the banking industry. Furthermore, it offers a theoretical framework that can be adopted and implemented by risk practitioners to address money laundering (ML) risks.

The interpretation and application of the RBA influences the way money laundering risk is perceived, presented, and managed, often resulting in misalignment among stakeholders. Moreover, AML practitioners interpret money laundering (ML) risk as an entity that can be contained, largely in ignorance of the fact that ML risk is self-referential.

The book therefore addresses complex inter-system feedback phenomena that lead to de-risking and re-risking, and offers a new ML risk communication framework on this basis. It will be of value to researchers and also to stakeholders within financial institutions, financial intelligence units and regulators in the fight against money laundering.
This book examines the interpretation of the risk-based approach (RBA) and its application across the banking industry. It explores the ways conflicting risk interpretation and deconstruction of money laundering risk have unintended consequences across the banking industry. Furthermore, it offers a theoretical framework that can be adopted and implemented by risk practitioners to address money laundering (ML) risks.

The interpretation and application of the RBA influences the way money laundering risk is perceived, presented, and managed, often resulting in misalignment among stakeholders. Moreover, AML practitioners interpret money laundering (ML) risk as an entity that can be contained, largely in ignorance of the fact that ML risk is self-referential.

The book therefore addresses complex inter-system feedback phenomena that lead to de-risking and re-risking, and offers a new ML risk communication framework on this basis. It will be of value to researchers and also to stakeholders within financial institutions, financial intelligence units and regulators in the fight against money laundering.
Über den Autor

Noemi També Bearpark is an Associate Professor at the Luxembourg School of Business and the founder and director of Tambe advisory and consulting which delivers financial crime prevention, anti-money laundering, counter-terrorist financing and counter-proliferation finance systems and controls across the banking, non-profit and public sectors. Her academic research mainly focuses on anti-money laundering where she evaluates risk management and communication across organisations within the private and the public sector. She holds her PhD in Systems Studies from the Centre for Systems Studies, University of Hull, UK.

Zusammenfassung

Equips readers with an innovative ML risk communication framework to enhance current processes

Contains new sources of data collected within financial intelligence units

Provides a theoretical framework for analyzing money laundering and terrorism financing

Inhaltsverzeichnis
Chapter 1. Introduction to Anti-Money Laundering.- Chapter 2. Risk and Luhmann's Systems Theory.- Chapter 3. Case Studies and Empirical Findings.- Chapter 4. Analysis and Discussion.- Chapter 5. Conclusion.
Details
Erscheinungsjahr: 2022
Fachbereich: Betriebswirtschaft
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Reihe: CSR, Sustainability, Ethics & Governance
Inhalt: xix
196 S.
12 s/w Illustr.
13 farbige Illustr.
196 p. 25 illus.
13 illus. in color.
ISBN-13: 9783031075070
ISBN-10: 3031075072
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: També Bearpark, Noémi
Auflage: 1st ed. 2022
Hersteller: Springer International Publishing
Springer International Publishing AG
CSR, Sustainability, Ethics & Governance
Maße: 241 x 160 x 18 mm
Von/Mit: Noémi També Bearpark
Erscheinungsdatum: 16.07.2022
Gewicht: 0,494 kg
Artikel-ID: 121525050
Über den Autor

Noemi També Bearpark is an Associate Professor at the Luxembourg School of Business and the founder and director of Tambe advisory and consulting which delivers financial crime prevention, anti-money laundering, counter-terrorist financing and counter-proliferation finance systems and controls across the banking, non-profit and public sectors. Her academic research mainly focuses on anti-money laundering where she evaluates risk management and communication across organisations within the private and the public sector. She holds her PhD in Systems Studies from the Centre for Systems Studies, University of Hull, UK.

Zusammenfassung

Equips readers with an innovative ML risk communication framework to enhance current processes

Contains new sources of data collected within financial intelligence units

Provides a theoretical framework for analyzing money laundering and terrorism financing

Inhaltsverzeichnis
Chapter 1. Introduction to Anti-Money Laundering.- Chapter 2. Risk and Luhmann's Systems Theory.- Chapter 3. Case Studies and Empirical Findings.- Chapter 4. Analysis and Discussion.- Chapter 5. Conclusion.
Details
Erscheinungsjahr: 2022
Fachbereich: Betriebswirtschaft
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Reihe: CSR, Sustainability, Ethics & Governance
Inhalt: xix
196 S.
12 s/w Illustr.
13 farbige Illustr.
196 p. 25 illus.
13 illus. in color.
ISBN-13: 9783031075070
ISBN-10: 3031075072
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: També Bearpark, Noémi
Auflage: 1st ed. 2022
Hersteller: Springer International Publishing
Springer International Publishing AG
CSR, Sustainability, Ethics & Governance
Maße: 241 x 160 x 18 mm
Von/Mit: Noémi També Bearpark
Erscheinungsdatum: 16.07.2022
Gewicht: 0,494 kg
Artikel-ID: 121525050
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