Research On Optimization Of AML Suspicious Transaction Monitoring Index System Of Futures Company

With the profound changes in the international and domestic situation,in order to deal with the adjustment of international standards for anti-money laundering and the severe situation of violent terrorist activities,anti-money laundering has risen to the national strategic level,and the identification and reporting of suspicious transactions,as the core issue of anti-money laundering,has attracted more and more attention of scholars.However,the micro research based on data mining technology mainly focuses on IT framework construction and mathematical modeling at present,which has little direct guiding meaning for financial institutions that mainly entrust third-party technology companies to build anti-money laundering monitoring system.At the same time,with the continuous improvement of the anti-money laundering system in the banking payment industry,securities and futures have gradually become the target of criminals,but its suspicious transaction monitoring is still facing many challenges.Therefore,it is particularly important to optimize the suspicious transaction monitoring index system.Based on the real futures trading data and anti-money laundering monitoring of a futures company,analyzing the issue in two situation:the annual average daily overall trading situation and time series individual trading situation,This paper comprehensively analyzes the impact of futures trading variables,especially those not covered by the current suspicious transaction monitoring index system,on triggering the warning and reporting of anti-money laundering suspicious transactions.It holds direct significance for the application of anti-money laundering suspicious transaction monitoring,identification and analysis for the futures companies,has several theoretical value for developing the research of anti-money laundering suspicious transaction monitoring in futures industry,and also proposes reference for anti-money laundering supervision.It is found that the number of varieties involved in futures exchanges,the number of banks involved in money transfer in and the number of banks involved in moeny transfer out have a significant impact on triggering the warning and reporting of suspicious transactions of anti-money laundering,which shows that futures companies should not only incorporate these three variables into the current monitoring index system of anti-money laundering,should also take strengthened customer identity due diligence measures for the customers with abnormally high number in those variables.Further research shows that futures companies should not rely too much on the anti-money laundering monitoring of banks before the money flows in,In fact,compared with money laundering by transaction such as knock-on trading,insider dealing and manipulation of futures market,futures companies should pay more attention to money laundering by transfer and summarize the transaction information related to bank transfer effectively,which is helpful for breaking the isolated information island,and holds great significance to realize the chain monitoring of money flows in the whole financial system.