基于数据中台的金融机构反洗钱应用与实践  

Application and Practice of Anti Money Laundering in Financial Institutions Based on Data Platform

作　　者：戚承中 Qi Chengzhong(Shanghai Pudong Development Bank,Shanghai 200000,China)

机构地区：[1]浦发银行,上海200000

出　　处：《移动信息》2025年第4期351-353,共3页Mobile Information

摘　　要：随着全球金融环境的日益复杂和洗钱手段的不断翻新,传统的反洗钱方法已难以满足当前的需求。文中探讨了数据中台在金融机构反洗钱中的应用与实践,通过案例分析和理论研究,揭示了数据中台如何提升反洗钱工作的有效性和效率。研究发现,数据中台通过整合多源数据,结合人工智能技术,提高数据处理速度和准确性,增强了金融机构的反洗钱能力。With the increasing complexity of the global financial environment and the continuous innovation of money laundering methods,traditional anti-money laundering methods are no longer able to meet current needs.This paper explores the application and practice of data middle platforms in anti-money laundering by financial institutions.Through case analysis and theoretical research,it reveals how data middle platforms can improve the effectiveness and efficiency of anti-money laundering work.Research has found that data centers significantly enhance the anti-money laundering capabilities of financial institutions by integrating multiple data sources and AI model,improving data processing speed,and accuracy.

关 键 词：数据中台 反洗钱 金融机构 

分 类 号：TN91[电子电信—通信与信息系统]