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Compliance in International Logistics’ Finance – Anti-Money Laundering and Know-Your-Customer

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Oldenburg, D., Ostendorf, T. Compliance in International Logistics’ Finance – Anti-Money Laundering and Know-Your-Customer. Vierteljahreshefte zur Arbeits- und Wirtschaftsforschung, 2(2), 223-248. https://doi.org/10.3790/vaw.2025.1457706
Oldenburg, Dorle Katharina and Ostendorf, Thomas "Compliance in International Logistics’ Finance – Anti-Money Laundering and Know-Your-Customer" Vierteljahreshefte zur Arbeits- und Wirtschaftsforschung 2.2, 2025, 223-248. https://doi.org/10.3790/vaw.2025.1457706
Oldenburg, Dorle Katharina/Ostendorf, Thomas (2025): Compliance in International Logistics’ Finance – Anti-Money Laundering and Know-Your-Customer, in: Vierteljahreshefte zur Arbeits- und Wirtschaftsforschung, vol. 2, iss. 2, 223-248, [online] https://doi.org/10.3790/vaw.2025.1457706

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Compliance in International Logistics’ Finance – Anti-Money Laundering and Know-Your-Customer

Oldenburg, Dorle Katharina | Ostendorf, Thomas

Vierteljahreshefte zur Arbeits- und Wirtschaftsforschung, Vol. 2 (2025), Iss. 2 : pp. 223–248

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Dorle Katharina Oldenburg, Business Manager Shipping, Real Estate & KYC Specialist at M.M. Warburg & Co.

Thomas Ostendorf, Professor of Finance at FOM University of Applied Sciences

References

  1. Alkhalili, M., Almasalha, F., and Outout, M. (Watch list for AML, 2021): Investigation of Applying Machine Learning for Watch-List Filtering in Anti-Money Laundering, in: IEEE Access, 9 (2021), No. 1, pp. 18481–18496.  Google Scholar
  2. Andersen Hill, J. (Reputational risk, 2020): Regulating Bank Reputation Risk, in: Georgia Law Review, 54 (2020), No. 2, pp. 523–602.  Google Scholar
  3. Barone, R., Masciandaro, D., and Schneider, F. (Money laundering, 2022): Corruption and money laundering: You scratch my back, I’ll scratch yours, in: Metroeconomica, 73 (2022), No. 1, pp. 318–342.  Google Scholar
  4. Bausch, O. and Voller, T. (History of money laundering, 2020): Geldwäsche- Compliance – Praxisbuch für Güterhändler, Kunstvermittler und Kunstlagerhalter, 2nd Edit, Wiesbaden: Springer Fachmedien, 2020.  Google Scholar
  5. Berglez, P. and Gearing, A. (Paradise Papers, 2018): The Panama and Paradise Papers: The Rise of a Global Fourth Estate, in: International Journal of Communication, 12 (2018), No. 1, pp. 4573–4592.  Google Scholar
  6. Bernstein, J. (Panama Papers, 2017): The Laundromat: Inside the Panama Papers, Illicit Money Networks, and the Global Elite, New York: Henry Holt and Company, 2017.  Google Scholar
  7. Bheemaiah, K. (Authentication of KYC documents, 2017): The Blockchain Alternative – Rethinking Macroeconomic Policy and Economic Theory, Paris: Apress, 2017.  Google Scholar
  8. BNP Paribas (KYC documents required by legal entities, 2023): We’re here for the next chapter – Know Your Customer checklist – Legal Entities, no place: BNP Paribas Real Estate UK, 2023.  Google Scholar
  9. Brown, R., Dahdal, A. and Truby, J. (Banking compliance measures, 2020): Banking on AI: mandating a proactive approach to AI regulation in the financial sector, in: Law and Financial Markets Review, 14 (2020), No. 2, pp. 110–120.  Google Scholar
  10. Chatain, P.-L., McDowell, J., and Mousset, C. (Anti-Money Laundering, 2009): Preventing Money Laundering and Terrorist Financing: A Practical Guide for Bank Supervisors, Washington, DC: The World Bank, 2009.  Google Scholar
  11. Cox, D. (Money Laundering, 2014): Handbook of Anti-Money Laundering, no place: Wiley, 2014.  Google Scholar
  12. Daudrikh, Y. (Beneficial owner, 2021): Beneficial Owner Central Registry as a tool to fight Money Laundering and Terrorist financing, 4 (2021), No. 20, pp. 136–162.  Google Scholar
  13. Davies, H. and Zhivitskayam, M. (Three Lines of Defence, 2018): The three Lines of Defence: A Robust Organsing Framework, or Just Lines in the Sand?, in: Global Policy, 9 (2018), No. 1, pp. 34–42.  Google Scholar
  14. Drumm, L. and Zhang, P. (German maritime industry, 2020): The German Shipping Foundation: Has it been effective in maintaining maritime expertise in Germany?, in: Marine Policy, 115 (2020), No. 1, pp. 470–478.  Google Scholar
  15. Duggal, R. and Soni, A. (KYC procedure, 2014): Reducing Risk in KYC (Know Your Customer) for large Indian banks using Big Data Analytics, in: International Journal of Computer Applications, 97 (2014), No. 9, pp. 49–53.  Google Scholar
  16. Ettmann, B., Wolff, K., and Wurm, G. (Banking, 2015): Kompaktwissen Bankbetriebslehre, 23rd Edit, Cologne: Bildungsverlag EINS, 2015.  Google Scholar
  17. Falzon, J., Michael, B., and Shamdasani, A. (Compliance, 2021): A theory of financial services competition, compliance and regulation, in: Journal of Modelling in Management, 16 (2021), No. 1, pp. 377–412.  Google Scholar
  18. Fiedler, I., Krumma, I., McCarthy, K., Reh, E., and Zanconato, U. A. (History of money laundering, 2017): Geldwäscherisiko verschiedener Glücksspielarten – Glücksspielforschung, Wiesbaden: Springer Fachmedien, 2017.  Google Scholar
  19. Financial Action Task Force Guidance (Identification of politically exposed persons, 2013): Politically Exposed Persons Recommendations 12 and 22, Paris: Financial Action Task Force, 2013.  Google Scholar
  20. Financial Action Task Force (In-depth KYC factors, 2018): Concealment of Beneficial Ownership, Paris: Financial Action Task Force, 2018.  Google Scholar
  21. Financial Intelligence Unit (German Suspicious Activity Reports, 2021): Jahresbericht 2020 Financial Intelligence Unit, Cologne: Generalzolldirektion, 2021.  Google Scholar
  22. Fischer, H.-D. (Bearer shares, 2023): 100 Years of Pulitzer Prize Reporting on World Economy: From Germany’s Fiscal War Burden in 1916 until the Global Scene of Offshore Companies in 2016, Berlin/Münster: LIT, 2023.  Google Scholar
  23. Ghazanfari, M., Fathian, M., and Salehi, A. (Techniques for Anti-Money Laundering, 2017): Data Mining Techniques for Anti Money Laundering, in: International Journal of Applied Engineering Research Volume 12 (2017), No. 20, pp. 10084–10094.  Google Scholar
  24. Goldsworth, J. G, Kalin, C.-H., and Muller, W.-H. (AML law and process, 2007): Anti-Money Laundering: International Law and Practice, Chichester: Wiley, 2007.  Google Scholar
  25. Grieser, S. and Heemann, M. (BaFin, 2020): Europäisches Bankaufsichtsrecht, 2nd Edit, Frankfurt am Main: Frankfurt School, 2020.  Google Scholar
  26. Harlaftis, G. (Maritime ownership structures, 2019): Innovation in Global Shipping: The Onassis Business, 1946–1975, in: Charlaute, T. (ed.), Creating Global Shipping: Aristotle Onassis, the Vagliano Brothers, and the Business of Shipping, c. 1820–1970, 2019, pp. 231–262.  Google Scholar
  27. Hartley, C. (Maritime foundations, 2023): The Europa International Foundation Directory 2023 – an international directory of foundations, trusts, charitable and grant making NGOs and other similar non-profit institutions, 32nd Edit, New York: Routledge, 2023.  Google Scholar
  28. Hasan, R. and Kruse, O. (Three lines of defence, 2023): The impact of regulatory requirements on German financial institutions’ outsourcing arrangements, in: Journal of Financial Regulation and Compliance, 31 (2023), No. 4, pp. 1–17.  Google Scholar
  29. Hathi, B. and Hathi, S. (One-ship company, 2019): Ship arrest in India and admiralty laws of India, 12th Edit, Mumbai: Brus Chambers, 2019.  Google Scholar
  30. Heilig, L., Stahlbock, R., and Voß, S. (Relationship between logistics companies and banks, 2018): Blockchain in der maritimen Logistik, in: HMD Praxis der Wirtschaftsinformatik, 55 (2018), No. 6, pp. 1185–1203.  Google Scholar
  31. Hlavica, C., Hülsberg, F., and Klapproth, U. (EU Money Laundering Directives, 2011): Tax Fraud and Forensic Accounting – Umgang mit Wirtschaftskriminalität, Wiesbaden: KPMG, Springer Fachmedien, 2011.  Google Scholar
  32. Holthaus, J. and Lehnhoff, D. (Fictitious UBO, 2019): Genossenschaftsgesetz – Gesetz betreffend die Erwerbs- und Wirtschaftsgenossenschaften mit Erläuterungen zum Umwandlungsgesetz und zur Europäischen Genossenschaft (SCE), 39th Edit, Berlin/Boston: Walter de Gruyter, 2019.  Google Scholar
  33. Idzikowski, L. (Transactions in banking, 2021): Money Laundering, New York: Greenhaven Publishing, 2021.  Google Scholar
  34. IHS Maritime & Trade (Vessel data provider, 2016): IHS Maritime & Trade Solutions Guide Enabling Global Supply Chains, no place: S&P Global, 2016.  Google Scholar
  35. Iosifidis, A. and Jensen, R. I. T. (Money laundering, 2023): Fighting Money Laundering with Statistics and Machine Learning, in: IEEE Access, 11 (2023), No. 1, pp. 8889–8903.  Google Scholar
  36. Kern, Alexander (Banking regulation, 2019): Principles of banking regulation, Cambridge: Cambridge University Press, 2019.  Google Scholar
  37. Keßler, D. and Zerres, C. (Economic crime, and its preventive measures, 2020): Rechtsrahmen der Geldwäschebekämpfung – Anfänge, Entwicklung und aktueller Stand, Offenbach: Hochschule Offenburg – Fakultät Medien und Informationswesen, 2020.  Google Scholar
  38. Klein, N. (Regulations for maritime companies, 2022): Unconventional law-making in the law of the sea, Oxford: Oxford University Press, 2022.  Google Scholar
  39. Knobel, A. (Beneficial owner, 2019): Beneficial ownership in the investment industry a strategy to roll back anonymous capital, no place: Tax Justice Network, 2019.  Google Scholar
  40. Kumar, V. A. (Source of funds and source wealth, 2012): Money Laundering: Concept, Significance and its Impact, 4 (2012), No. 2, pp. 113–119.  Google Scholar
  41. Le Nguyen, C. (Anti-Money Laundering measures in banks, 2018): Preventing the use of financial institutions for money laundering and the implications for financial privacy, in: Journal of Money Laundering Control, 21 (2018), No. 1, pp. 47–58.  Google Scholar
  42. Leo, M., Maddulety, K., and Sharma, S. (Risk management in ban king, 2019): Machine Learning in Banking Risk Management: A Literature Review, in: Risks, 7 (2019), No. 1, pp. 515–537.  Google Scholar
  43. Liebich-Frels, M. (The German Money Laundering Act, 2006): Geldwäsche, in: Lange, H.-J. and Gasch, M. (eds.), Wörterbuch zur inneren Sicherheit, 2006, pp. 95–98.  Google Scholar
  44. LSEG (Different in-house screening guidelines, 2023): LSEG World-Check brochure – Specialist research, no place: London Stock Exchange World-Check, 2023.  Google Scholar
  45. Luburic, R., Perovic, M., Sekuloive, R. (Three lines of defence, 2015): Quality Management in terms of strengthening the “Three Lines of Defence” in Risk Management – Process Approach: in International Journal for Quality Research, 9 (2015), No. 2, pp. 243–250.  Google Scholar
  46. Mahaputra, R. and Saputra, F. (Business ethics and stakeholder trust, 2021): Application of Business Ethics and Business Law on Economic Democracy that Impacts Business Sustainability, in: Journal of low politic and Humanities, 1 (2021), No. 3, pp. 115–125.  Google Scholar
  47. Makhija, D. and Sirur, S. (Risk impacting KYC factors, 2024): Ultimate Forensic Guide to AML KYC CFT, Gujarat: self-published by forensic arbiter (Darwin), 2024.  Google Scholar
  48. Manning, L. (Compliance, 2020): Moving from a compliance-based to an integrity-based organizational climate in the food supply chain, in: Comprehensive Reviews in Food Science and Food Safety, 19 (2020), No. 3, pp. 995–1017.  Google Scholar
  49. Meissner, M. (Three lines of defence, 2018): Accountability of senior compliance management for compliance failures in a credit institution, in: Journal of Financial Crime, 25 (2018), No. 1, pp. 131–139.  Google Scholar
  50. Meunier, D. (Offshore ownership structures, 2018): Hidden Beneficial Ownership and Control: Canada as a Pawn in the Global Game of Money Laundering, Financial Transactions and Reports Analysis Centre of Canada (FINTRAC), 2018.  Google Scholar
  51. Naheem, M. A. (Money laundering techniques, 2016): Money laundering: A primer for banking staff, in: International Journal of Disclosure and Governance, 13 (2016), No. 1, pp. 135–156.  Google Scholar
  52. Ndizera, V. (International trade, 2023): Innovative solutions to border management challenges for trade facilitation in the east African community, in: International Journal of Political Science and Governance, 5 (2023), No. 1, pp. 328–336.  Google Scholar
  53. Odak, D. (Balancing conflict of interests, 2020): A Political Economy of Banking Supervision – Missing a Chance, Zadar: Springer Nature Switzerland, 2020.  Google Scholar
  54. Panayides, P. (Maritime holding companies, 2019): The Routledge Handbook of Maritime Management, New York: Routledge – Taylor & Francis, 2019.  Google Scholar
  55. Paun, C. and Topan, V. (Maritime ownership structures, 2016): Capital Structure in the Global Shipping Industry, in: Panoeconomicus, 63 (2016), No. 3, pp. 359–384.  Google Scholar
  56. Polsky, S. (Offshore companies, 2022): The Dark Posthuman: Dehumanization, Technology, and the Atlantic World, Boston: punctumbooks, 2022.  Google Scholar
  57. PwC (Global Economic Crime and Fraud Survey, 2020): Fighting fraud: A never ending battle – PwC’s Global Economic Crime and Fraud Survey, San Francisco: PricewaterhouseCoopers LLP, 2020.  Google Scholar
  58. PwC (Global Economic Crime and Fraud Survey, 2022): PwC’s Global Economic Crime and Fraud Survey 2022 – Protecting the perimeter: The rise of external fraud, San Francisco: PricewaterhouseCoopers LLP, 2022.  Google Scholar
  59. PwC (Global Economic Crime Survey, 2024): Meeting tomorrow’s challenges, embracing risk intelligently – PwC’s Global Economic Crime Survey 2024, San Francisco: PricewaterhouseCoopers LLP, 2024.  Google Scholar
  60. Rapp, M. S. and Trinchera, O. (Offshore ownership structures, 2017): Regulation and the Ownership Structure of European Listed Firms, in: Global Corporate Governance, 19 (2017), No. 1, pp. 23–76.  Google Scholar
  61. Raymond Choo, K.-K. (Politically exposed persons, 2008): Politically exposed persons (PEPs): risks and mitigation, in: Journal of Money Laundering Control, 13 (2008), No. 4, pp. 371–387.  Google Scholar
  62. Reuter, P. and Trumann, E. M. (Anti-Money Laundering measures, 2004): Chasing Dirty Money: The Fight Against Money Laundering: Washington DC, Institute for International Economics, 2004.  Google Scholar
  63. Roach, L. (Bearer shares, 2022): Company Law, 2nd Edit, Oxford: Oxford University Press, 2022.  Google Scholar
  64. Statista Research Department (Leaked files of Panama Papers, 2016): Number of files revealed in Panama Papers data leak in April 2016, by type (2016-04-03), https://www.statista.com/statistics/531286/panama-papers-data-type/, (access 2024-09-22, 14:40 CET).  Google Scholar
  65. Sullivan, K. (Money laundering, 2015): Anti-Money Laundering in a Nutshell – Awareness and Compliance for Financial Personnel and Business Managers, New York: Apress Media LLC, 2015.  Google Scholar
  66. Sylle, F. (Increased regulatory requirements due to Panama Papers, 2019): 5. Geldwäscherichtlinie – die daraus resultierenden Änderungen und Neuerungen, in: BankArchiv – Österreichische Bankwissenschaftliche Gesellschaft, 67 (2019), No. 4, pp. 285–287.  Google Scholar
  67. Teichmann, F. M. J. (Beneficial owners, and their funds, 2022): Current trends in terrorist financing, in: Journal of Financial Regulation and Compliance, 30 (2022), No. 1, pp. 107–125.  Google Scholar
  68. Teichmann, F. M. J. (Money laundering purposes, 2018): Real estate money laundering in Austria, Germany, Liechtenstein and Switzerland, in: Journal of Money Laundering Control, 21 (2018), No. 3, pp. 370–375.  Google Scholar
  69. Verband Deutscher Reeder, Zentralverband Deutscher Schiffsmakler (Foreign flags; Said to contain; Seafreight, 2013): Von Praktikern für Praktiker – See-Schiff-LadungFachbuch für Schifffahrtskaufleute, Lüneburg: von Stern-Verlag, 2013.  Google Scholar
  70. Wohlschlägl-Aschberger, D. (KYC as core of AML compliance measures, 2018): Geldwäscheprävention – Recht, Produkte, Branchen, Frankfurt am Main: efiport, Frankfurt School, 2018.  Google Scholar
  71. Wronka, C. (Deloitte’s compliance approach to financial crime prevention, 2023): Financial crime in the decentralized finance ecosystem: new challenges for compliance, in: Journal of Financial Crime, 30 (2023), No. 1, pp. 97–113.  Google Scholar
  72. Bloomberg (Shareholding disclosure, 2024): Shareholding disclosure: Making complexity manageable – Bloomberg Professional Services (2024-01-31), https://www.bloomberg.com/professional/insights/trading/shareholding-disclosure-making-complexity-manageable/, (access 2024-11-01, 13:05 CET).  Google Scholar
  73. Bundesanstalt für Finanzdienstleistungsaufsicht (BaFin’s history, 2020): Functions & history (2020-01-29), https://www.Bafin.de/EN/DieBaFin/AufgabenGeschichte/aufgabengeschichte_node_en.html, (access 2024-09-21, 18:15 CET).  Google Scholar
  74. Bundesanstalt für Finanzdienstleistungsaufsicht (BaFin’s role in AML, 2017): Amended version of the Money Laundering Act (No Date), https://www.bafin.de/EN/PublikationenDaten/Jahresbericht/Jahresbericht2017/Kapitel2/Kapitel2_5/Kapitel2_5_4/kapitel2_5_4_artikel_en.html, (access 2024-10-31, 17:15 CET).  Google Scholar
  75. Bundesanstalt für Finanzdienstleistungsaufsicht (Millions in AML fines for N26, 2024): Geldwäscheprävention: BaFin setzt Geldbuße gegen N26 Bank AG fest (2024-05-21), https://www.bafin.de/SharedDocs/Veroeffentlichungen/DE/Massnahmen/60b_KWG_84_WpIG_und_57_GwG/meldung_240521_N26_Bank_AG.html?cms_expanded=true#:~:text=Die%20Finanzaufsicht%20BaFin%20hat%20gegen,systematisch%20Geldw%C3%A4sch everdachtsmeldungen%20versp%C3%A4tet%20abgegeben%20hat, (access 2024-10-31, 18:25 CET).  Google Scholar
  76. Bundesanstalt für Finanzdienstleistungsaufsicht (Money Laundering Act, 2018): Geldwäschegesetz – GwG – Money Laundering Act (2018-10-12), https://www.bafin.de/SharedDocs/Veroeffentlichungen/EN/Aufsichtsrecht/Gesetz/GwG_en.html, (access 2024-10-31, 23:40 CET).  Google Scholar
  77. Deloitte (UBO and fictious UBO, 2018): Transparency Register: exceptions and legal fiction of notification (No Date), https://www2.deloitte.com/dl/en /pages/legal/articles/transparenzregister-compliance.html, (access 2024-10-31, 21:35 CET).  Google Scholar
  78. European Parliament (FIU, 2023): New EU measures against money laundering and terrorist financing (2023-03-28), https://www.europarl.europa.eu/news/en/press-room/20230327IPR78511/new-eu-measures-against-money-laundering-and-terrorist-financing, (access 2023-09-21, 18:20 CET).  Google Scholar
  79. European Union (EU legal framework, 2013): Procedure – Proposal for a Directive of the European Parliament and of the Council on the prevention of the use of the financial system for the purpose of money laundering and terrorist financing (No Date), https://eur-lex.europa.eu/legal-content/EN/HIS/?uri=CELEX:32015L0849&qid=1730394353416, (access 2024-10-31, 18:15 CET).  Google Scholar
  80. Financial Action Task Force (AML and combating terrorist financing, 2022): Methods and Trends – Recent projects – Money Laundering and Terrorist Financing Risks Arising from Migrant Smuggling (2022-03-22), https://www.fatf-gafi.org/en/topics/methods-and-trends.html, (access 2024-09-21, 18:25 CET).  Google Scholar
  81. German Customs (Financial Intelligence Unit, n.d.): Financial Intelligence Unit (No Date), https://www.zoll.de/DE/FIU/fiu_node.html, (access 2024-09-21, 18:30 CET).  Google Scholar
  82. IDnow (KYC identitiy verification via video, n.d.): VideoIdent – Identity verification without borders (No Date), https://www.idnow.io/products/idnow-videoident/, (access 2024-10-31, 22:15 CET).  Google Scholar
  83. IDnow (MLA data to be recorded, n.d.): Geldwäschegesetz (GwG) – Diese Daten sind laut GwG festzuhalten (No Date), https://www.idnow.io/de/glossar/geldwaeschegesetz-gwg/, (access 2024-10-31, 22:50 CET).  Google Scholar
  84. International Consortium of Investigative Journalists (ICIJ database; Paradise Papers release, 2017): ICIJ releases The Paradise Papers (2024-11-05), https://www.icij.org/investigations/paradise-papers/icij-releases-paradise-papers/, (access 2024-10-31, 17:55 CET).  Google Scholar
  85. International Consortium of Investigative Journalists (Involved politicians, n.d.): Off-shore leaks database – explore offshore connections – the power players – Panama Papers (No Date), https://offshoreleaks.icij.org/, (access 2024-09-21, 18:40 CET).  Google Scholar
  86. International Consortium of Investigative Journalists (Panama Papers, 2016): About the investigation (2016-04-03), https://www.icij.org/investigations/panama-papers/about-the-investigation, (access 2024-10-31, 16:15 CET).  Google Scholar
  87. International Consortium of Investigative Journalists (Paradise Papers, 2017): The 1 Percent – Offshore Trove Exposes Trump-Russia links and Piggy Banks of the Wealthiest 1 Percent (2017-11-05), https://www.icij.org/inves-tigations/paradise-papers/paradise-papers-exposes-donald-trump-russia-links-and-piggy-banks-of-the-wealthiest-1-percent/, (access 2024-10-31, 17:50 CET).  Google Scholar
  88. LexisNexis Risk Solutions (Compliance database, n.d.): Robust Databases of High-Risk Individuals and Entities – WorldCompliance Data (No Date), https://risk.lexisnexis.com/global/en/products/worldcompliance-data#, (access 2024-11-01, 13:40 CET).  Google Scholar
  89. Leyendecker, H., Obermaier, F., Obermayer, B., and Wormer, V. (Sueddeutsche Zeitung about Panama Papers, n.d.): Panama Papers – The secrets of dirty money – The Firm (No Date), https://panamapapers.sueddeutsche.de/articles/56febf8da1bb8d3c3495adec/, (access 2024-09-22, 14:30 CET).  Google Scholar
  90. Metzger, V. and Täuber, N. (Three lines of defence according to KPMG, 2022): Three Lines of Defense: Die 1,5-Linie erweitert das klassische Model – Ein Organisationskonzept zur Steuerung von Risiken (2022-12-02), https://klardenker.kpmg.de/financialservices-hub/three-lines-of-defense-die-15-linie-erweitert-das-klassische-model/, (access 2024-10-31, 21: 30 CET).  Google Scholar
  91. Moody’s (International money laundering, 2024): Money Laundering (2024-05-31), https://www.moodys.com/web/de/de/kyc/resources/insights/intersection-luxury-goods-financial-crime.html, (access 2024-10-31, 16:05 CET).  Google Scholar
  92. Moody’s (KYC solution, n.d.): KYC & AML solutions from Moody’s – Compliance and third-party risk management (No Date), https://www.moodys.com/web/en/us/kyc.html, access 2024-10-31, 22:30 CET).  Google Scholar
  93. Obermaier, F. und Obermayer, B. (Publication of the Panama Papers, n.d.): The Downfall of a Scandalous Firm (No Date), https://panamapapers.sueddeutsche.de/articles/e344090/, (access 2024-09-22, 14:40 CET).  Google Scholar
  94. PwC (KYC reviews, n.d.): Smart Identification & Verification – Managed Service trifft Künstliche Intelligenz – Eine Lösung von PwC (No Date), https://www.pwc.de/de/finanzdienstleistungen/smart-identification-and-verification.html, (access 2024-09-22, 14:35 CET).  Google Scholar
  95. Sinpex (AI-driven monitoring, n.d.): Automate your KYC Process for Business Clients (No Date), https://www.sinpex.de/product, (access 2024-10-31, 22:25 CET).  Google Scholar
  96. Sueddeutsche Zeitung (Paradise Papers leak, 2017): Paradise Papers – The Shadowy World of Big Money – These are the Paradise Papers (No Date), https://www.sueddeutsche.de/projekte/artikel/politik/this-is-the-leak-e866529/, (access 2024-09-22, 14:45 CET).  Google Scholar
  97. Swift (KYC registry; Risk factors, n.d.): The KYC process explained – A risk-based approach (No Date), https://www.swift.com/your-needs/financial-crime-cyber-security/know-your-customer-kyc/kyc-process#a-risk-based-approach, (access 2024-11-01, 13:45 CET).  Google Scholar
  98. The Guardian (Millions in fines for HSBC’s AML failings, 2021): HSBC fined GBP 64 m for failures in anti-laundering processes (2021-12-17), https://www.theguardian.com/business/2021/dec/17/hsbc-fined-64m-failures-anti-laundering-fca, (access 2024-09-22, 14:45 CET).  Google Scholar
  99. The New York Times (Gambling parlours as mafia’s money laundering model, 2022): Two of New York’s Oldest Mafia Clans Charged in Money Laundering Scheme (2022-08-16), https://www.nytimes.com/2022/08/16/nyregion/new-york-mob-families-racketeering-charges.html, (access 2024-09- 22, 14:50 CET).  Google Scholar
  100. United Nations Office on Drugs and Crime (Money laundering cycle, n.d.): Money Laundering (No Date), https://www.unodc.org/unodc/en/money-laundering/overview.html, (access 2024-11-01, 13:15 CET).  Google Scholar

Abstract

Ca. 60 Prozent der deutschen Exporte werden per Schiff getätigt. Die internationale Schifffahrtsbranche wird von Unternehmen dominiert, die ihr Domizil in sogenannten Offshore-Zentren haben, die durch geringe Transparenz gekennzeichnet sind. Kriminelle fühlen sich dadurch eingeladen die undurchsichtigen Strukturen zu nutzen, um illegale Geldströme zu verbergen oder Sanktionen zu umgehen, die gegen bestimmte Länder oder Waren verhängt wurden. Banken und andere Finanzinstitute müssen daher Risikomanagementprozesse installieren, um diese illegalen Geldwäschetransaktionen aufzudecken und zu stoppen. Im Zentrum dieser Mitigationsmaßnahmen steht der sogenannte Know-Your-Customer Prozess. Neben der Beobachtung und Kontrolle der Geldströme gilt es im Rahmen dessen die berechtigten Parteien, sowohl des Geldes als auch der involvierten Unternehmen, zu identifizieren. Allerdings fehlen in vielen Offshore-Zentren angemessene Register, die einen transparenten Überblick über die Eigentümerstrukturen gewährleisten. Darum bilden diese Register für Banken, die Geldwäsche bekämpfen, keine leicht zugänglichen Quellen. Der vorliegende Artikel zeigt die gegenwärtigen Maßnahmen der Geldwäschebekämpfung sowie der obligatorischen Know-Your-Customer Prüfungen in Finanzinstituten auf und diskutiert die Herausforderungen für deutsche Banken, die in der internationalen Handelsfinanzierung tätig sind.