Research On Anti-money Laundering Detecting And Analysis System Of The Commercial Bank

Although definitions on money laundering defined by different organizations and countries are different, its nature is the same of process of an attempt to legitimize the illegal income. Commercial banks provide electronic transfers, commercial paper and other financial tools to meet the need of customers. However, these tools also facilitate the money laundering offences. According to the relevant requirements of the People' Bank of China, commercial banks need to conduct real-time analysis and screening on the large and suspicious transactions of RMB and foreign currencies.However, screening large and suspicious transactions is a hard and complicated work,which needs the banks to establish a comprehensive anti-money laundering monitoring and analysis system to reduce the investment of manpower and improve the efficiency of anti-money laundering.In this paper, anti-money laundering detecting and analysis system of the commercial bank is one part of the anti-money laundering report system of CMBC in Changsha.In the anti money laundering information data monitoring, it is very important to recognize the transactions based on the large transactions and transactions. This paper will focus on the problem of anti money laundering in the financial system, and study the problem of the financial system's anti money laundering. This paper focuses on solving the problem of the financial system's anti money laundering. The research establishes the system of automatic anti money laundering.The system is designed based on the technology of enterprise application, and the use of the framework to build the system, the main function of the Struts framework is the display layer from the MVC persistence data layer and business logic layer, thus the system has the advantages of convenient page navigation, and the system uses data mining clustering analysis to improve the ability of abnormal transaction data. In addition, the system uses the Hibernate framework to implement the data persistence layer, which greatly reduces the workload and improves the maintainability of the system. At the same time, the system uses ETL, data mining, according to the unified rules, the data from different data sources to extract the data warehouse, which is a commercial bank's anti money laundering system's basic technology. The overall structure of the anti money laundering system of commercial banks can be divided into four parts, data layer, business layer, presentation layer and display layer. In the operation steps, the configuration information is read from the analysis configurationsub module, then the data of the commercial bank is collected according to the configuration information, then the data collected is reviewed. Data acquisition and analysis configuration module are based on the data collected from the commercial banks to collect the data collected from the commercial banks. The data is collected from the commercial banks to the application server of the data detection and analysis system. Anti money laundering monitoring and analysis module are according to the ETL management module to analyze the configuration of sub module to the abnormal trading rules, the collection to the anti money laundering data warehouse in the abnormal transaction analysis will meet the conditions of the transaction water information into the system database, and can be displayed in the foreground. The Bulu module of the system is desihned to apply the Bulu transaction data to facilitate analysis of the follow-up of the anti money laundering monitoring and analysis of the data module. The application of this system can be used to deal with the large amount of data and the way of dealing with the large amount of data and the way to deal with it. Of this study, the anti-money laundering work of commercial Banks information provides the technical route and implementation plan, the system is effective to detect money laundering and early warning, which has great theoretical and practical value.