机构反洗钱迎来执行“操作指南” 交易链条穿透管理待强化

Core Viewpoint - The "Anti-Money Laundering Special Preventive Measures Management Measures" (hereinafter referred to as "Measures") will be officially implemented on February 16, 2026, aiming to prevent money laundering, terrorist financing, and financing of weapons of mass destruction, while providing detailed operational requirements for financial institutions and specific non-financial institutions [1][2]. Group 1: Implementation and Functionality - The Measures serve as a specific execution-level regulatory document that refines and supplements the "Anti-Money Laundering Law of the People's Republic of China," offering more actionable guidance for obligated institutions in risk identification, due diligence, and reporting [1][2]. - The Measures are seen as a replacement and update of previous regulations, clarifying responsibilities and processes, thus facilitating the transition from textual regulations to practical implementation [2]. Group 2: Cross-Departmental Collaboration - The joint release of the Measures by the central bank and eight departments signals a clear cross-departmental collaboration, which is expected to enhance policy execution efficiency and align with international practices in anti-money laundering [3]. - This collaboration includes regulatory oversight of specific non-financial institutions, integrating their strengths to foster active inter-departmental coordination and encourage innovation in anti-money laundering measures [3]. Group 3: Enhanced Data Requirements - The Measures emphasize the need for institutions to adopt anti-money laundering special preventive measures for a broader range of entities, including those identified by national anti-terrorism groups and the Ministry of Foreign Affairs, thus increasing the complexity of compliance [4]. - Institutions are required to monitor not only their clients but also the transaction counterparts, necessitating deeper penetration into ownership and equity relationships [4][5]. Group 4: Data and Technology Utilization - The execution of the Measures demands higher data capabilities from institutions, as reliance solely on names for matching can lead to frequent false positives, especially with common names [6]. - The importance of timely updates to lists has become a critical part of execution capabilities, with institutions increasingly relying on professional data service providers for comprehensive list data and updates [6][7]. - The application of artificial intelligence in the matching and identification processes is anticipated to enhance the precision of high-risk identification while minimizing disruptions to normal transactions [7].