大数据背景下提升反洗钱数据质量有效性研究  

Research on the Effectiveness of Improving the Quality of Anti-money Laundering Data under the Background of Big Data

作　　者：于江[1] 李健聪[2] 陈昱含 YU Jiang;LI Jiancong;CHEN Yuhan

机构地区：[1]中国人民银行长春中心支行,吉林长春130051 [2]中国人民银行松原市中心支行,吉林松原138000

出　　处：《吉林金融研究》2020年第2期61-63,共3页Journal of Jilin Financial Research

摘　　要：近年来,现代化信息技术从经济金融领域逐渐渗透到广泛应用,给反洗钱工作带来了诸多挑战,以往的监管方式已很难准确、快速的识别风险,本文拟通过引入大数据思维模式进一步探索适合新时代的反洗钱监管工作模式,以更高的精准度分析反洗钱数据信息,提升反洗钱数据质量,切实发挥反洗钱工作在维护国家安全、经济金融秩序方面的重要作用。In recent years,modem information technology has gradually penetrated into a wide range of applications from the economic and financial fields,bringing many challenges to the anti-money laundering work.It is difficult to accurately and quickly identify risks in the previous supervision methods.This article through the introduction of new age thinking mode of big data further to explore the mode of anti-money laundering regulations,analyze anti-money laundering data with higher precision information,improving the quality of anti-money laundering data,to play to the anti-money laundering work in the maintenance of national security,economic and financial order.

关 键 词：大数据 反洗钱 有效性 

分 类 号：F830[经济管理—金融学]