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Anti-money Laundering Suspicious Transaction Monitoring And Optimization Management

Posted on:2017-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2359330485467951Subject:Business management
Abstract/Summary:PDF Full Text Request
In recent years,governments and financial regulatory departments take more and more attention to the anti-money laundering.The People's Bank of China published a series of anti-terrorist financing documents due to Xinjiang violence rampant fear in 2014,and some stuffs of Bank of China even claimed that they can provide money laundering for clients,which was exposed by CCTV.These events illuminated the strong demanding of anti-money laundering and terrorist financing,and determination against corruption for governments.A complete and effective mechanism has already been formed in our anti-money laundering.On this basis,the anti-money laundering work is continually progressed,and the monitoring and analysis is the key point.A high-quality anti-money laundering monitoring system can greatly reduce the cost of manpower required for monitor,and improve the accuracy of reporting.This thesis reviews the theory of data mining,and summarizes the relevant literature in the realm of data mining applications.The author took part in the anti-money laundering systems development in commercial bank,and is familiar with both the process of money-laundering suspicious transaction monitoring and the problem that the old anti-money laundering transaction monitoring meets.The author applied the theory of data mining method into suspicious transaction monitoring,tried to construct IF-THEN decision tree classification model,and analysis the performance of the monitoring based on results of the system.Finally,the modes,problems and solutions of AML transaction monitoring are investigated.Industrial and Commercial Bank of China was selected as a pilot by the People's Bank of China in 2012,providing the real cases of money-laundering occurred in the Industrial and Commercial Bank of China in past few years.By analyzing and summarizing these data,analysis team in the Industrial and Commercial Bank of China built the transaction monitoring model,which works well,while most of the other commercial banks in China cannot access the real case database.This thesis in vestigated in this case,how could other commercial banks optimize its anti-money laundering transaction monitoring?The jobs of suspicious transaction monitoring have universal characteristics,and the method of money laundering suspicious transaction monitoring method introduced in this thesis is also applicable to other financing institution.
Keywords/Search Tags:AML, suspicious transaction monitoring, data mining, classification
PDF Full Text Request
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