Application Technologies and Challenges of Big Data Analytics in Anti-Money Laundering and Financial Fraud Detection

As financial criminal methods become increasingly sophisticated, traditional anti-money laundering and fraud detection approaches face significant challenges. This study focuses on the application technologies and challenges of big data analytics in anti-money laundering and financial fraud detection. The research begins by outlining the evolutionary trends of financial crimes and highlighting the new characteristics of the big data era. Subsequently, it systematically analyzes the application of big data analytics technologies in this field, including machine learning, network analysis, and real-time stream processing. Through case studies, the research demonstrates how these technologies enhance the accuracy and efficiency of anomalous transaction detection. However, the study also identifies challenges faced by big data analytics, such as data quality issues, algorithmic bias, and privacy protection concerns. To address these challenges, the research proposes solutions from both technological and managerial perspectives, including the application of privacy-preserving technologies like federated learning. Finally, the study discusses the development prospects of Regulatory Technology (RegTech), emphasizing the importance of synergy between technological innovation and regulatory policies. This research provides guidance for financial institutions and regulatory bodies in optimizing their anti-money laundering and fraud detection strategies.

The effectiveness of China’s anti-money laundering policies

Finding the best method to assess the effectiveness of Anti-Money Laundering(AML)policies is a controversial issue. Based on about 9,000 questionnaires circulated to AML professionals and other related staff at the People's Bank of China and other banking institutions,this study acquired first-hand data from respondents and has resulted in the following key findings:The effectiveness of the whole AML system is rated as"largely effective"in respect to China’s legislation,regulation and supervision,suspicious transaction monitoring and analyses and administrative investigation;the system is rated as"basically effective"in respect to money-laundering prosecutions and convictions and international cooperation.Financial institutions'compliance with AML regulations is rated as"largely effective"in respect to internal control,customer identification,large-value transaction and suspicious transaction reporting,and the record-keeping of ID information and transactions.Statistically,58.48%of respondents said they think that China’s AML regime is"completely effective"or"largely effective;"35.21%say it is"basically effective,"and the remaining 4.68% call it"largely ineffective"or"completely ineffective."The authors conclude by proposing some policy recommendations to enhance the effectiveness of AML policy.

Applying Internal Control Procedures for Detecting and Preventing Money Laundering Operations in Banks＂ A Field Study in the Hashemite Kingdom of Jordan

This study aimed at identifying the role and importance of internal control procedures for detecting and preventing money laundering operations in banks through defining the internal control procedures which contribute to detecting money laundering operations. These procedures include the guide and policies issued by the administration of banks in order to combat laundering money operations as well as to train employees on matters pertaining to the money laundering operations. The study showed the role of the internal control procedures in detecting practically the money laundering through the automated programs and the system of saving the files and records. Furthermore, the study showed the factors affecting the internal control procedures to anti-money laundering operations. The researcher used an analytical descriptive approach for collecting data which relate to the main elements of the study, analyzing and explaining them. This study aimed at building the theoretical framework depending on audit literature which addressed internal control system, anti-money laundering systems, and control procedures of anti-money laundering. Through the theoretical framework, a questionnaire related to the application of internal control procedures and its relation to anti-money laundering operations was designed. It was distributed to the population of the study which includes internal and external auditors and the head of anti-money laundering operations unit in the Jordanian banks. The study found that applying internal control procedures is important for detecting and preventing money laundering operations in the Jordanian banks and that there are factors affecting the nature and the extent of internal control standards pertaining to anti-money laundering operations in the Jordanian banks.

美国股权众筹中集资门户的反洗钱义务及其启示

美国股权众筹法律制度中确认了集资门户的反洗钱义务。集资门户和其他金融机构一样必须遵守《银行保密法》规定的反洗钱要求,即拟定反洗钱计划、识别客户的身份、提交可疑交易报告以及信息共享四个程序。集资门户在未能履行反洗钱义务时应承担相应的行政或刑事责任。我国应借鉴美国集资门户反洗钱立法的先进经验,明确规定众筹平台的反洗钱义务,加强众筹平台对投融资双方的审核,完善众筹平台的法律责任。

论注册会计师的反洗钱义务

随着金融系统防范洗钱犯罪措施的加强,注册会计师被犯罪分子利用而卷入洗钱犯罪活动的现象时有出现。本文在对洗钱犯罪利用专业人员新趋势进行分析的基础上,论述了注册会计师承担反洗钱义务的必要性,探讨了注册会计师承担反洗钱义务的困难,提出了注册会计师承担反洗钱义务的解决途径。

金融机构履行反洗钱法律义务中的问题及建议

本文从基层金融机构在履行反洗钱法律义务方面存在的主要问题出发,分析了产生问题的原因,提出了完善金融机构履行《反洗钱法》规定义务的对策建议。主要是:正确认识反洗钱工作的意义,解开"开展反洗钱影响业务工作"的思想包袱;进一步健全和完善反洗钱制度;增强工作主动性;严格履行"了解你的客户"义务;细分大额交易和可疑交易行为,落实大额交易和可疑交易报告制度。

论注册会计师的反洗钱义务

随着金融系统防范洗钱犯罪措施的加强,注册会计师被犯罪分子利用而卷入洗钱犯罪活动的现象时有出现。本文在对洗钱犯罪利用专业人员新趋势进行分析的基础上,论述了注册会计师承担反洗钱义务的必要性,探讨了注册会计师承担反洗钱义务的困难,提出了注册会计师承担反洗钱义务的解决途径。

TMAS:A transaction misbehavior analysis scheme for blockchain

Blockchain-based cryptocurrencies,such as Bitcoins,are increasingly popular.However,the decentralized and anonymous nature of these currencies can also be(ab)used for nefarious activities such as money laundering,thus reinforcing the importance of designing tools to effectively detect malicious transaction misbehaviors.In this paper,we propose TMAS,a transaction misbehavior analysis scheme for blockchain-based cryptocurrencies.Specifically,the proposed system includes ten features in the transaction graph,two heuristic money laundering models,and an analysis method for account linkage,which identifies accounts that are distinct but controlled by an identical entity.To evaluate the effectiveness of our proposed indicators and models,we analyze 100 million transactions and compute transaction features,and are able to identify a number of suspicious accounts.Moreover,the proposed methods can be applied to other cryptocurrencies,such as token-based cryptocurrencies(e.g.,Bitcoins)and account-based cryptocurrencies(e.g.,Ethereum).

论我国特定非金融机构反洗钱监管

随着国家对金融机构安全监管力度的不断加强,洗钱犯罪分子为了逃避监管,逐渐将洗钱的视角投向安全监管措施相对薄弱的特定非金融机构,使得洗钱犯罪活动隐秘性更强,犯罪形式与犯罪手段日趋多样性、复杂化。我国反洗钱法将特定非金融机构纳入反洗钱的主体范围,规定特定非金融机构与金融机构一样履行反洗钱义务。但是由于我国反洗钱法对履行反洗钱义务的特定非金融机构的主体范围、具体义务等规定并不明确,相关配套的法律、法规至今基本空白,加之特定非金融机构的性质、经营活动范围与特点等与金融机构有所不同,且极易被洗钱犯罪分子所利用,使反洗钱法中有关特定非金融机构履行反洗钱义务的规定实际上成为一纸空文,客观上造成了特定非金融机构反洗钱监管缺失。为了强化特定非金融机构反洗钱监管,促使特定非金融机构承担起反洗钱的责任,有必要通过立法及制度的建立、措施的完善,解决特定非金融机构反洗钱行动中的难点和障碍,保证国家反洗钱法律的贯彻实施。

反洗钱研究的热点与趋势——兼评反洗钱学术研究与实践发展的体系融合

反洗钱体系是现代金融体系的重要组成部分,也是国家治理体系和治理能力现代化建设的必要环节。但是,当前部分反洗钱研究存在重理论轻实践、重过去轻未来、重局部轻体系的局限,缺乏对反洗钱研究热点与趋势的脉络把握和体系支撑。本文从反洗钱的学科本源和研究脉络入手,理清反洗钱实践发展的“四大核心义务”。基于中国知网1990—2022年的4197篇反洗钱论文,结合反洗钱“四大核心义务”透视反洗钱研究热点。最后,依据反洗钱实践的难点与痛点,按其核心义务的内在逻辑得出未来反洗钱研究的四大趋势,从而尝试构建联通反洗钱学术研究和实践发展的桥梁。