AI against money laundering networks: the Colombian case

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olmer Garcia-Bedoya ◽  
Oscar Granados ◽  
José Cardozo Burgos

Purpose The purpose of this paper is to examine the artificial intelligence (AI) methodologies to fight against money laundering crimes in Colombia. Design/methodology/approach This paper examines Colombian money laundering situations with some methodologies of network science to apply AI tools. Findings This paper identifies the suspicious operations with AI methodologies, which are not common by number, quantity or characteristics within the economic or financial system and normal practices of companies or industries. Research limitations/implications Access to financial institutions’ data was the most difficult element for research because affect the implementation of a set of different algorithms and network science methodologies. Practical implications This paper tries to reduce the social and economic implications from money laundering (ML) that result from illegal activities and different crimes against inhabitants, governments, public resources and financial systems. Social implications This paper proposes a software architecture methodology to fight against ML and financial crime networks in Colombia which are common in different countries. These methodologies complement legal structure and regulatory framework. Originality/value The contribution of this paper is how within the flow already regulated by financial institutions to manage the ML risk, AI can be used to minimize and identify this kind of risk. For this reason, the authors propose to use the graph analysis methodology for monitoring and identifying the behavior of different ML patterns with machine learning techniques and network science methodologies. These methodologies complement legal structure and regulatory framework.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kalle Johannes Rose

Purpose Recent research shows that because of money-laundering risks, there has been an increase in the off-boarding of certain types of corporate clients in the financial sector. This phenomenon known as “de-risking” has been argued to have a negative impact on society, because it increases the possible risk of money laundering. The purpose of this paper is to analyze whether the de-risking strategy of financial institutions results in an expansion of the regulatory framework concerning anti-money laundering focusing on off-boarding of clients and, if so, is there a way to avoid further regulation by changing present behavior. Design/methodology/approach This paper applies functional methods to law and economics to achieve higher efficiency in combating money laundering. Findings In this paper, it is found that the continuing of de-risking by financial institutions because of the avoidance strategy of money-laundering risks will inevitably result in further regulatory demands regarding the off-boarding process of clients. The legal basis for the introduction of further regulatory intervention is that some of the de-risking constitutes a direct contradiction to the aim of the present regulatory framework, making the behavior non-compliant to the regulation. Originality/value There has been very little research concerning de-risking related to money laundering. The present research has focused on the effect on society and not the relationship between the financial institutions and the regulator. This paper raises an important and present problem, as the behavior of the financial institutions constitute a response from the regulator that is contradicting the thoughts behind the behavior of the financial institutions. It is found that the paper is highly relevant if an expansion of regulation is to be hindered.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Buno (Okenyebuno) Emmanuel Nduka ◽  
Giwa Sechap

Purpose Designated non-financial businesses and professions (DNFBPs) are important actors both in the formal and informal sectors owing to the nature of services they offer. The DNFBPs are key players in financial and economic development and thus are highly vulnerable to money laundering (ML) and terrorist financing (TF) risks. Globally, and indeed, within the West African region, typologies studies have indicated several instances of misuse of DNFBPs for the laundering of proceeds of crime and to a lesser extent, TF. Factors that make DNFBPs vulnerable to ML and TF in the region, include limited understanding of ML/TF risk and anti-money laundering and combating the financing of terrorism (AML/CFT) obligations, and poor implementation of AML/CFT measures by the sector. As reporting institutions, DNFBPs are required to implement appropriate measures to mitigate the ML/TF risk facing them. Mutual evaluation reports (MERs) of countries in the region noted weak implementation of AML/CFT measures by DNFBPs compares to financial institutions. These coupled with the general poor monitoring and supervision of DNFBPs for compliance, make them a weak link in member states’ AML/CFT regime. This study examined how Economic Community of West African States member states can plug the loopholes in the DNFBPs to strengthen their AML/CFT regime and thus improve their performance during mutual evaluation. This study reviewed data from the publications of Inter-Governmental Action Group against Money Laundering in West Africa (GIABA), Financial Action Task Force (FATF) and other credible sources. Design/methodology/approach This study is more of desk-review based on secondary data, including information obtained from GIABA, and FATF publications, and websites as well as information obtained from reliable sources on the internet. The authors reviewed the MERs of GIABA member states that have been assessed under the second round, especially that of Ghana, Senegal, Cape Verde, Mali and Burkina Faso, with particular focus on sections of the reports relating to preventive measures and supervision. In general, this paper adopts a policy approach with a view to explaining the importance and benefits of implementing AML/CFT preventive measures by reporting entities, especially the DNFBPs. Findings This study found that there is a general lack of information on the exact size of DNFBPs across member states, the risk of ML/TF associated with DNFBPs is generally identified as high across member states (albeit at different levels), the extent and level of monitoring/supervision of DNFBPs for AML/CFT compliance trails what is obtainable in financial institutions; the institutional and operational frameworks for regulating, supervising and monitoring DNFBPs are either weak or poorly defined in many member states; and the focus of AML/CFT technical assistance has been more on financial institutions than DNFBPs. Although the number of MERs reviewed for this work may be few, the findings and conclusions in the concluded MERs reflect regional peculiarities, including high informality of the economies, preponderance use of cash in transactions, diversity of DNFBPs and the general weak application of AML/CFT preventive measures by these entities, and the weak AML/CFT supervision or monitoring of DNFBPs which cut across all GIABA member states. Although efforts to address the weaknesses in the DNFBPs, including training and supervision, have commenced, in most member states, these are still at rudimentary levels. Research limitations/implications However, this study is limited by the fact that it was desk-based review without direct inputs of industry players (DNFBPs and their supervisors). Practical implications In general, this paper adopts a policy approach with a view to explaining the importance and benefits of implementing AML/CFT preventive measures by reporting entities, especially the DNFBPs. It aims to bring to the fore the weaknesses of the DNFBPs in the implementation of AML/CFT preventive measures and therefore will be useful to national authorities who are striving toward strengthening their national AML/CT regimes and to DNFBPs who wish to protect the integrity and stability of their system. Originality/value It is imperative to mention that the weak compliance by DNFBPs, and indeed other challenges inhibiting effective implementation of preventive measures, is not peculiar to West Africa. A review of MERs of 17 African countries (eight countries in the Eastern and Southern Africa Anti Money Laundering Group region, five in GIABA region and three in the Middle East and North Africa region assessed under the current round as on October 2020, show a similar pattern of weak ratings under Immediate Outcome 4.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Dupuis ◽  
Kimberly Gleason ◽  
Zhijie Wang

Purpose The purpose of this study is to describe the present taxonomy of money, summarize potential central bank digital currency (CBDC) regimes that central banks worldwide could adopt and explore the implications of the introduction of each of these CDBC regimes for money laundering through the lens of the regulatory dialectic theory. Design/methodology/approach The methodology used in the analysis of significant recent events regarding the progress of central banks in establishing a CBDC and the implications for money laundering under a CBDC regime. This paper also reviews the literature regarding the Regulatory Dialectic to highlight potential innovative responses of money launderers to circumvent the controls generated through the implementation of a CBDC. Findings This study examines the impact of Kane’s regulatory dialectic paradigm on the feasibility of money laundering under a CBDC regime and identifies potential avenues that would be available for those seeking to launder money, based on the form a CBDC would take. Research limitations/implications This paper is unable as of yet to empirically evaluate anti-money laundering (AML) tactics under a CBDC regime as it has not yet been fully implemented. Practical implications Many central banks worldwide are evaluating the structure of and introduction of a CBDC. There are a number of forms that a CBDC could take, each of which has implications for individual privacy and for entities involved in AML efforts within financial institutions and the regulatory community. The paper has implications for AML experts who are considering how AML procedures would change under a CBDC regime. Social implications The regulatory dialectic predicts that regulatory response reactive, rather than proactive when it comes to socially undesirable phenomena. As central banks and governments seek to divert economic activity away from the laundering of the proceeds of illicit activity, there are tradeoffs in terms of a loss of privacy. The regulatory dialectic predicts a corresponding innovative response of those who wish to undermine the controls generated through the establishment of a CBDC. Originality/value To the authors’ knowledge, this is the first paper to explore the impact of a potential CBDC on money laundering and the potential innovative circumventions within the paradigm of the Regulatory Dialectic.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adegboyega Adekunle Ige

Purpose A review of literature revealed that many publications on efforts at combatting money laundering focus on two frameworks, namely, legal/legislative and institutional, while overlooking the third and equally important framework – the “regulatory/ supervisory framework.” This paper aims to eradicate the dearth in literature with regards to this third and seldom acknowledged framework and it aims at filling that gap. Design/methodology/approach The analysis took the form of a desk study, which distinguished the three frameworks for combatting money laundering and provided a comprehensive list of the main actors in each regime within the Nigerian legal context. The Money Laundering (Prevention and Prohibition) Act, 2016 was examined in detail. Findings Three categories of regulators were identified and discussed in this paper: the supervisory bodies that regulate the activities of financial institutions, namely, Central Bank of Nigeria, Securities and Exchange Commission and Nigerian Insurance Commission; The Bureau for Money Laundering Control which supervises – designated non-financial institutions and businesses; the Attorney General of the Federation; and (Self-Regulatory Organizations. The Attorney General of the Federation was identified as the prime regulator within the context of the 2016 Act. Suggestions on how the regulators could make the most of their roles were made in the concluding part. Research limitations/implications This paper only considered the Nigerian legal context and only the extant law – the Money Laundering (Prevention and Prohibition) Act, 2016 was critically examined. Originality/value The findings in this paper and the writing approach are original.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Darshan Kumar ◽  
Mark Eshwar Lokanan

Purpose This paper aims to advance the professional knowledge, experience and expertise of anti-money laundering (AML) professionals by focusing on how money laundering (ML) impacts a variety of financial institutions (FIs) and in what ways the FIs can retaliate to detect, prevent and mitigate the risk of ML. Design/methodology/approach This paper use data from secondary sources. Many FI cases have been included such as a bank money service business (MSB) and insurance companies. Findings There should be a culture of compliance in organizations. Upper management, such as a designated committee or board members, should set the tone of compliance. Money launderers take advantage of every possible opportunity to convert illicit proceeds into clean proceeds with any institution or profession. Originality/value This paper used a case study approach to study the nuances of money laundering activities in various jurisdictions.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Esman Kurum

Purpose This study aims to discuss the growing use of RegTech solutions by financial institutions to comply more efficiently with regulation in terms of anti-money laundering compliance and more specifically its influence on the evolution of financial crime in the next ten years. Design/methodology/approach Based on two online Delphi surveys sent to a panel of international experts composed of eight specially recruited professionals and specialists of anti-financial crime compliance and RegTech, five main predictions have been developed. Findings It was found that artificial intelligence would become the most impactful technology for financial institutions to fight financial crime, and that there will be a strong positive correlation between ever-more elaborated compliance programs and the level of sophistication of methods used for money laundering. Furthermore, the panel designated regulators’ recommendations as likely to be less influential than RegTech solutions, and the time required to integrate RegTech solutions for AML compliance as the main future challenge. Originality/value These predictions are meant to provide financial institutions and regulators with useful outlooks. While the reviewed literature focused on the role of regulations on the evolution of money laundering, this study puts stress on RegTech solutions and their impact on both compliance and financial crime.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ehi Eric Esoimeme

Purpose This paper aims to help build awareness with financial institutions about the money laundering risks posed by individuals who have been unknowingly recruited as Money Mules and theme assures that financial institution scan adopt to detect illicit funds which are being received into the bank accounts of low risk or medium risk customers who are unknowingly recruited as “Money Mules”. Design/methodology/approach The research took the form of a desk study, which analysed various documents and reports such as a 2019 report on Money Mules by the European Union Agency for Law Enforcement Cooperation (EUROPOL); a 2019 and 2020 report on Money Mules by the Federal Bureau of Investigation (FBI) and the Better Business Bureau (BBB); the Financial Action Task Force Guidance on the Risk Based Approach to Combating Money Laundering and Terrorist Financing (High Level Principles and Procedures) 2007; the Financial Action Task Force Recommendations 2012; the United Kingdom’s Money Laundering, Terrorist Financing and Transfer of Funds (Information on the Payer) Regulations 2017; the United States Federal Financial Institutions Examination Council Bank Secrecy Act/Anti-Money Laundering Examination Manual 2014; Transparency International Corruption Perceptions Index 2018; The UK Proceeds of Crime Act 2002 (as amended); the Joint Money Laundering Steering Group JMLSG, Prevention of money laundering/combating terrorist financing: Guidance for the UK financial sector Part I June 2017 (Amended December 2017); the United States Codified Bank Secrecy Act Regulations (31 CFR); the Nigerian Money Laundering Prohibition Act 2011 (as amended); and the Joint Money Laundering Steering Group JMLSG, Prevention of money laundering/combating terrorist financing: Guidance for the UK financial sector Part II: Sectoral Guidance June 2017 (Amended December 2017). Findings This paper determined that financial institutions may be able to prevent proceeds of crime from being laundered by individuals who have been unknowingly recruited as Money Mules if they focus monitoring resources on the emotionally vulnerable customers like newcomers to the country, unemployed people who may have lost their jobs because of a pandemic like COVID-19, students and those in economic hardship; pay very close attention to the country of origin where the funds emanate from; pay very close attention to the country where the funds are being transferred to; and pay close attention to frequent large cash deposits followed by wire transfers. Originality/value While most articles focus on the money laundering risk(s) associated with Money Mules and the measures that individuals can use to ensure that their bank accounts are not used by criminals to launder illicit funds, this paper focuses on the different mechanisms that banks can use to detect illicit funds which are being received into the bank accounts of low risk or medium risk customers who are unknowingly recruited as “Money Mules”. This paper recommends a proportional approach that balances anti-money laundering measures, financial inclusion and human rights. The mechanisms/measures which have been extensively discussed in this paper will help banks to identify, assess and understand their money laundering and terrorist financing risks as it relates to Money Mules and take commensurate measures to mitigate them.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Norman Mugarura ◽  
Emma Ssali

Purpose The purpose of this paper is to decipher the law relating to cybercrimes regulation and benchmarking best practices that could be adopted to address regulatory weaknesses in some countries. In many countries, cybercrimes regulation is undermined by a lack of robust regulatory regimes. The few regimes that are available are fragmented with no coherent global strategy to deal with these offences across countries and regions. There is a lot of scholarly literature to corroborate the fact that lack of requisite laws on cyber and financial crimes has rendered states lame ducks when faced with well-organized and resourced criminal organizations. Design/methodology/approach This paper articulates intricacies of regulating money laundering and cybercrimes using data from selected African countries and beyond. Generic issues on financial crimes, cybercrimes, case law and policy documents drawn from different jurisdictions have been examined based on the objectives of the study. Cybercrime activities and anti-money laundering (AML) regulatory models have been evaluated drawing on experiences of selected countries in Africa and other countries. Questions whether suspicious activity reports are appropriate as a model to counter incidences of cybercrime activities or whether other options should be considered were also examined. Most notably, the risk-based assessment model such as profiling of high-risk clients rather than reporting every transaction will be compared and possibly suggested as a suitable alternative in financial crimes regulation. The authors have evaluated the data and AML regulatory approaches and other policy measures to curtail the foregoing threats. There is a possibility that AML tools used by financial institutions and banking activities could be used to prevent the growing threat of cybercrimes. The paper has also been enriched by case studies of tenuous legal systems and fragmentation of laws on cybercrimes and financial crimes and how these gaps have been exploited to fuel incidences of illicit criminal activities around the globe. The paper has also used empirical data including visits to banks and financial institutions on the nexus between the threat of cybercrimes and money laundering prevention. The authors have been selective, evaluating cases from 2000s to date. This timeline was particularly important because of the increased incidences of computers and money laundering threats globally. After analysing the data, the authors were able to delineate that there is a close connection between the foregoing two crimes, how they operate in practice, differences and similarities in the counter-measures used to mitigate their negative effect globally. Thus, in the authors’ contention, this is a novel study that is likely to spur farther research on law and policy against cyber and AML crimes not only in Uganda but also in other jurisdictions. At the same time, the findings of the study could complement, and perhaps also complete, the work of scholars who have written papers on cybercrimes to advocate for regulatory changes fight against these offences. The study will also complement the work of other researchers who have challenged the segregation of cybercrimes and financial crimes in local and international regulatory discourses. This research aims to make a significant contribution to the study of cybercrimes and how they are regulated in international law. Findings The findings of the paper have confirmed that the high incidences of money laundering and cybercrimes today are partly fuelled by inherent weaknesses in the global regulatory system and partly fuelled by weaknesses at an individual state level. Many countries have enacted a raft of anti-cyber and AML legislation but this notwithstanding, these laws have not been used to stem cross-border crimes globally. This is partly explained by the fact that many enforcement institutions lack the requisite capacity to institute measures through which to implement engendered laws and policies easily. The regulatory capacity of many countries has been eviscerated by deficiencies in infrastructure and systems.


2019 ◽  
Vol 22 (2) ◽  
pp. 210-216 ◽  
Author(s):  
Chad Albrecht ◽  
Kristopher McKay Duffin ◽  
Steven Hawkins ◽  
Victor Manuel Morales Rocha

Purpose This paper aims to analyze the money laundering process itself, how cryptocurrencies have been integrated into this process, and how regulatory and government bodies are responding to this new form of currency. Design/methodology/approach This paper is a theoretical paper that discusses cryptocurrencies and their role in the money laundering process. Findings Cryptocurrencies eliminate the need for intermediary financial institutions and allow direct peer-to-peer financial transactions. Because of the anonymity introduced through blockchain, cryptocurrencies have been favored by the darknet and other criminal networks. Originality/value Cryptocurrencies are a nascent form of money that first arose with the creation of bitcoin in 2009. This form of purely digital currency was meant as a direct competitor to government-backed fiat currency that are controlled by the central banking system. The paper adds to the recent discussions and debate on cryptocurrencies by suggesting additional regulation to prevent their use in money laundering and corruption schemes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhishek Gupta ◽  
Dwijendra Nath Dwivedi ◽  
Ashish Jain

Purpose Transaction monitoring system set up by financial institutions is one of the most used ways to track money laundering and terrorist financing activities. While being effective to a large extent, the system generates very high false positives. With evolving patterns of financial transactions, it also needs effective mechanism for scenario fine-tuning. The purpose of this paper is to highlight quantitative method for optimizing scenarios in money laundering context. While anomaly detection and unsupervised learning can identify huge patterns of false negatives, that can reveal new patterns, for existing scenarios, business generally rely on judgment/data analysis-based threshold finetuning of existing scenario. The objective of such exercises is productivity rate enhancement. Design/methodology/approach In this paper, the authors propose an approach called linear/non-linear optimization on threshold finetuning. This traditional operations research technique has been often used for many optimization problems. Current problem of threshold finetuning for scenario has two key features that warrant linear optimization. First, scenario-based suspicious transaction reporting (STR) cases and overall customer level catch rate has a very high overlap, i.e. more than one scenario captures same customer with different degree of abnormal behavior. This implies that scenarios can be better coordinated to catch more non-overlapping customers. Second, different customer segments have differing degree of transaction behavior; hence, segmenting and then reducing slack (redundant catch of suspect) can result in better productivity rate (defined as productive alerts divided by total alerts) in a money laundering context. Findings Theresults show that by implementing the optimization technique, the productivity rate can be improved. This is done through two drivers. First, the team gets to know the best possible combination of threshold across scenarios for maximizing the STR observations better coverage of STR – fine-tuned thresholds are able to better cover the suspected transactions as compared to traditional approaches. Second, there is reduction of redundancy/slack margins on thresholds, thereby improving the overall productivity rate. The experiments focused on six scenario combinations, resulted in reduction of 5.4% of alerts and 1.6% of unique customers for same number of STR capture. Originality/value The authors propose an approach called linear/non-linear optimization on threshold finetuning, as very little work is done on optimizing scenarios itself, which is the most widely used practice to monitor enterprise-wide anti-money laundering solutions. This proves that by adding a layer of mathematical optimization, financial institutions can additionally save few million dollars, without compromising on their STR capture capability. This hopefully will go a long way in leveraging artificial intelligence for further making financial institutions more efficient in controlling financial crimes and save some hard-earned dollars.


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