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唐朱昌
唐朱昌
教授,博士生导师。复旦大学中国反洗钱研究中心首任主任,复旦大学俄...
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严立新
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陈浩然
陈浩然
复旦大学法学院教授、博士生导师;复旦大学国际刑法研究中心主任。...
何 萍
何 萍
华东政法大学刑法学教授,复旦大学中国反洗钱研究中心特聘研究员,荷...
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李小杰
安永金融服务风险管理、咨询总监,曾任蚂蚁金服反洗钱总监,复旦大学...
周锦贤
周锦贤
周锦贤先生,香港人,广州暨南大学法律学士,复旦大学中国反洗钱研究中...
童文俊
童文俊
高级经济师,复旦大学金融学博士,复旦大学经济学博士后。现供职于中...
汤 俊
汤 俊
武汉中南财经政法大学信息安全学院教授。长期专注于反洗钱/反恐...
李 刚
李 刚
生辰:1977.7.26 籍贯:辽宁抚顺 民族:汉 党派:九三学社 职称:教授 研究...
祝亚雄
祝亚雄
祝亚雄,1974年生,浙江衢州人。浙江师范大学经济与管理学院副教授,博...
顾卿华
顾卿华
复旦大学中国反洗钱研究中心特聘研究员;现任安永管理咨询服务合伙...
张平
张平
工作履历:曾在国家审计署从事审计工作,是国家第一批政府审计师;曾在...
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上传时间: 2013-04-17      浏览次数:633次
Treasury Department Using Advanced Analytics to Help Detect, Prevent Money-Laundering
关键字:money laundering

04/16/2013

http://www.securitymanagement.com/news/treasury-department-using-advanced-analytics-help-detect-prevent-money-laundering-0012366

 

Technological advancements are helping financial institutions and law enforcement combat bank fraud and money laundering more efficiently, according to Jennifer Shaskey Calvery, director of the Financial Crimes Enforcement Network (FinCEN), a bureau of the U.S. Treasury Department. Calvery spoke at the Mortgage Bankers Association Fraud Issues Conference in Hollywood, Florida, on Monday.

 

Under the Bank Secrecy Act (BSA), financial institutions are required to file Suspicious Activity Reports (SARs) on certain transactions, and the collected data become a key tool for law enforcement in investigations. But sifting through that data and leveraging it in an effective way can present a challenge. Last September, FinCEN introduced an analytics tool that can be used to better analyze collected data. Called the FinCEN Query, it allows investigators to more easily search the 11 years of BSA data and apply filters. That has already facilitated investigations, but the next step is predictive analytics. The goal is to review successful investigations and find "money laundering indicators" and use that to "develop automated business rules that will allow us to provide agencies with new leads indicative of similar illicit activity elsewhere," said Calvery.

 

One feature of the tool is automated detection of trends and shifts in regional data, which allows FinCEN to see where major changes are taking place. “This type of predictive analysis will significantly improve our intelligence and enforcement efforts by allowing us to focus on those vulnerable regions or financial sectors where money laundering or financial crimes are most prevalent,” said Calvery. The tool is also being used to detect banks that show a pattern of having "looked the other way," with regard to money laundering, she said.

 

In conjunction with the FinCEN Query system, FinCen developed a new FinCEN report template for Currency Transaction Reports (CTRs) and SARs. Calvery explained this “universal” form of documentation allows institutions to give more detail about what types of fraud they suspect, and the form is specifically developed to work with the analytics, allowing “law enforcement, and regulators to slice and dice the information submitted in a much more advanced way.”

 

At the conference, Calvery also provided an update on regulatory issues affecting anti-money laundering activity. Last February a set of rules was developed specifically for non-bank residential mortgage lenders and originators (RMLOs) requiring them to report “suspicious activity, including but not limited to fraudulent attempts to obtain a mortgage or launder money by use of the proceeds of other crimes to purchase residential real estate.” Since implementing the rule almost exactly a year ago on April 16, 2012, Calvery said there’s been a 13 percent increase in filers, suggesting that RMLOs are “stepping up to report mortgage fraud.”

 

Additionally, FinCEN proposed regulations in November 2011 to require government-sponsored enterprises like Fannie Mae and Freddie Mac to “develop anti-money laundering programs and file SARs with FinCEN.” Calvery said those proposals are in the “final stages” of being crafted.