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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...
严立新
严立新
复旦大学国际金融学院教授,中国反洗钱研究中心执行主任,陆家嘴金...
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...
李小杰
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: 2023-08-29      浏览次数:985次
ICE lacks automated technology to identify imports at high risk for money laundering, watchdog says

 

https://fedscoop.com/ice-lacks-technology-to-identify-money-laundering-risk-imports/

 

U.S. Immigration and Customs Enforcement doesn’t have automated technology to identify imports at high risk for trade-based money laundering and lacks staffing needed to identify those schemes, an agency watchdog found.

 

Those technology and staffing issues mean imports related to trade-based money laundering schemes “will continue to go undetected, thus allowing transnational criminal organizations to finance activities, threatening U.S. national security,” the U.S. Department of Homeland Security’s inspector general found in a recent report.

 

In lieu of automated technologies, the report found ICE currently identifies trade-based money laundering risks through “time-consuming” manual searches of import records. The inspector general pointed to funding constraints and competing priorities as reasons the agency hasn’t developed a technology to aid those efforts.

 

The report included two recommendations: That the executive associate director for homeland security investigations develop and implement a plan for upgrading ICE’s Data Analysis & Research for Trade Transparency System — which the agency uses to analyze U.S. and foreign trade data to identify anomalous patterns — including estimating funding needed and a timeline; and conduct an analysis of the Trade Transparency Unit’s workforce to determine what additional staff is needed.

 

In a response included in the report, ICE agreed with the recommendations and described its current work to achieve them. ICE said it established work plans and the estimated completion date for adding advanced analytics features, including identifying trade-based money laundering, is March 31, 2025.

 

ICE also said it conducted a workforce survey, which it will submit to its chief financial officer for approval, and has requested staffing increases through the annual process. It estimated that recommendation will be completed by March 29, 2024.