Core Viewpoint - Yizheng Rural Commercial Bank has implemented a provincial compliance management system under the guidance of Jiangsu Rural Commercial Bank, enhancing compliance risk identification, timely response, and effective prevention, thereby strengthening the risk management framework for high-quality business development [1] Group 1: Compliance Management System Implementation - The bank has fully launched the provincial compliance management system, leveraging intelligent warning and dynamic monitoring functions to improve compliance risk management [1] - A four-level verification responsibility system has been established, ensuring that responsibilities are clearly defined and executed at all levels [3] - The bank has integrated various departments to form a cross-departmental warning verification team, enhancing collaboration and efficiency in risk management [6] Group 2: Resource Allocation and Team Building - The compliance management department has been equipped with comprehensive system access, utilizing big data analysis for intelligent risk identification [5] - A specialized compliance management team has been formed, consisting of experienced professionals from various fields, providing strong analytical support for warning data verification [5] - The bank has established a collaborative mechanism involving multiple departments to address complex risk issues effectively [6] Group 3: Risk Classification and Control - A risk grading system has been developed, categorizing warning indicators into important, general, and attention levels to focus on high-risk areas [8] - Precise prevention strategies have been implemented, prioritizing resources for high-risk warnings and ensuring comprehensive checks on loan-related activities [8] - The bank is managing employees throughout their entire cycle, establishing special management files for those with abnormal behaviors to ensure effective risk control [9] Future Outlook - Yizheng Rural Commercial Bank plans to further optimize its warning data verification mechanism, exploring new methods through digital transformation and AI to enhance efficiency and improve risk management [9]