积极推进科技驱动战略,构建核心系统变更风险管控体系——长江证券金融科技在核心交易系统变更质量管理中的应用研究

Core Viewpoint - The article discusses the innovative application of financial technology in the change quality management of core trading systems at Changjiang Securities, highlighting the transition from experience-driven to data-driven management through the implementation of an AI-native intelligent change quality management platform [2][37]. Group 1: Research Background - The core trading system is essential for securities companies, directly impacting market stability and investor rights, facing unprecedented operational pressures and change challenges due to market reforms and technological advancements [3]. - From 2014 to 2024, regulatory bodies issued 49 IT-related penalties to 33 securities firms, with 34 related to information security, indicating vulnerabilities in core trading systems [3]. - Strengthening change quality management in core trading systems is crucial for the digital transformation of the securities industry, with Changjiang Securities leading the exploration of financial technology applications in this area [3][4]. Group 2: Company Overview - Changjiang Securities, established in 1991 and listed in 2007, is a comprehensive financial service provider in China, offering a wide range of services including wealth management, investment banking, and asset management [4][5]. - The company operates a financial holding group structure with subsidiaries across various sectors, aiming to enhance its service model and drive business innovation [5][6]. Group 3: Technology Empowerment and System Construction - The company emphasizes the importance of robust and secure core systems, viewing change quality management as critical for business continuity and customer experience [7]. - In 2024, the company faced over 13,400 modification points in system upgrades, highlighting the inadequacy of traditional quality management methods reliant on manual experience [7][8]. Group 4: Research Findings - Traditional change quality management faces significant limitations in efficiency, precision, and coverage due to reliance on personal experience and lack of systematic support [8][9]. - The complexity of the core trading system, with millions of lines of code and thousands of interfaces, hampers efficient understanding and problem identification [10][11]. - Manual evaluation of numerous change points is insufficient for comprehensive risk assessment, leading to potential oversights [11][12]. Group 5: Intelligent Change Quality Management Solutions - Changjiang Securities developed an AI-native intelligent change quality management platform, integrating various technologies to enhance the entire change lifecycle [14][19]. - The platform includes a layered evaluation model, standardized management processes, and intelligent technology support to improve risk assessment and operational efficiency [15][17][19]. Group 6: Practical Outcomes and Value - The application of financial technology has led to significant improvements in change risk assessment accuracy, system stability, and operational efficiency [27][29]. - The automated and intelligent management of change processes has reduced implementation cycles by approximately one-third and testing time by 70% [30][31]. - The platform has enabled the creation of high-quality data assets from various system-generated data, driving business innovation and enhancing market competitiveness [32]. Group 7: Experience Summary and Outlook - The intelligent transformation of change quality management is a complex process involving technology, processes, and organizational culture, requiring continuous optimization and collaboration [33]. - Future efforts will focus on establishing a feedback loop for continuous improvement, enhancing human-machine collaboration, and promoting industry standards [34][36].