{"id":1043,"date":"2013-05-08T14:35:40","date_gmt":"2013-05-08T14:35:40","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/_dev\/magazine\/?p=1043"},"modified":"2013-05-24T14:59:26","modified_gmt":"2013-05-24T14:59:26","slug":"treasury-department-using-advanced-analytics-to-help-detect-prevent-money-laundering","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/treasury-department-using-advanced-analytics-to-help-detect-prevent-money-laundering\/1043\/","title":{"rendered":"Treasury Department Using Advanced Analytics to Help Detect, Prevent Money-Laundering"},"content":{"rendered":"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 href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/treasury-department-using-advanced-analytics-to-help-detect-prevent-money-laundering\/1043\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>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 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1045,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-1043","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1043","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=1043"}],"version-history":[{"count":10,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1043\/revisions"}],"predecessor-version":[{"id":1044,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1043\/revisions\/1044"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media\/1045"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=1043"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=1043"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=1043"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}