活动背景 近年来，全球贸易格局持续深度重塑，中美经贸关系的变化、关税政策的频繁调整，以及海运 物流链条面临的复杂局势，都在为跨境企业带来新的不确定性与合规压力。在此背景下，国际 贸易合规从"后台支持"跃升为企业战略布局与风险防控的核心能力，其价值愈发凸显。 为协助企业准确把握政策动态、深入理解监管趋势、提升贸易链条的透明度与合规能力， 伦敦 证券交易所集团（LSEG）携手合作伙伴亿海蓝 ，将于上海举办线下专题研讨会。本次活动将 围绕航运贸易与跨境合规的核心痛点展开，重点议题包括： 我们诚挚邀请来自海事、航运、贸易、物流、跨国企业以及银行风控和合规部门的专业人士参 加，共同探讨挑战与机遇，共建稳健透明的全球贸易环境。 欢迎报名参会！ 2:00 PM - 2:30 PM | 来宾签到 2:30 PM - 2:40 PM | 开场致辞 2:40 PM - 3:10 PM | 主题演讲: 航运贸易合规洞察与最佳实践 3:10 PM - 3:55 PM | 圆桌讨论：航运物流与制裁合 规数据在金融风控中的应用实践 航运贸易风险识别的最新趋势与实务洞察 航运与物流数据如何在金融合规、制裁筛查和风控体系中发挥作用 美国制裁 ...

活动背景 为协助企业准确把握政策动态、深入理解监管趋势、提升贸易链条的透明度与合规能力， 伦敦 证券交易所集团（LSEG）携手合作伙伴亿海蓝 ，将于上海举办线下专题研讨会。本次活动将 围绕航运贸易与跨境合规的核心痛点展开，重点议题包括： 我们诚挚邀请来自海事、航运、贸易、物流、跨国企业以及银行风控和合规部门的专业人士参 加，共同探讨挑战与机遇，共建稳健透明的全球贸易环境。 欢迎报名参会！ 航运贸易风险识别的最新趋势与实务洞察 航运与物流数据如何在金融合规、制裁筛查和风控体系中发挥作用 美国制裁及出口管制体系的最新发展与企业应对策略 典型案例、最佳实践与企业构建高韧性合规体系的实操经验 近年来，全球贸易格局持续深度重塑，中美经贸关系的变化、关税政策的频繁调整，以及海运 物流链条面临的复杂局势，都在为跨境企业带来新的不确定性与合规压力。在此背景下，国际 贸易合规从"后台支持"跃升为企业战略布局与风险防控的核心能力，其价值愈发凸显。 盛尊阔 副总裁 亿海蓝 多位银行代表 2:00 PM - 2:30 PM | 来宾签到 2:30 PM - 2:40 PM | 开场致辞 2:40 PM - 3:10 PM | 主题演 ...

Core Viewpoint - The article highlights significant regulatory penalties imposed on major financial institutions due to inadequate risk management and compliance failures, emphasizing the need for enhanced risk monitoring systems and processes [1][2]. Group 1: Regulatory Penalties - On September 12, the National Financial Regulatory Administration disclosed administrative penalties totaling nearly 140 million yuan against three large financial institutions for issues related to loan management, investment operations, and regulatory data reporting [1]. - The penalties reflect a broader trend of failures in post-loan management, investment risk control, and system monitoring across the financial sector [1]. Group 2: Risk Management Challenges - Many financial institutions face common pain points, including reliance on manual checks that often overlook risk warnings, necessitating an upgrade in risk control practices [3]. - The difficulty in dynamically monitoring holdings leads to an underestimation of actual risks, and the time-consuming nature of report writing results in delayed risk reporting [4]. Group 3: AI-Driven Solutions - The article introduces AliceRisk, an AI-powered tool designed to enhance risk monitoring and reporting, enabling real-time oversight of portfolio risks [6][10]. - AliceRisk integrates with Wind's risk knowledge base, allowing for dynamic risk alerts, automated report generation, and traceability of various risk events [7][10]. Group 4: Risk Event Analysis - The analysis of risk events indicates a concentration of issues within specific companies, with notable instances of negative sentiment and high-risk ratings for certain entities, such as 汇添富基金管理股份有限公司 [15][20]. - The report highlights the need for ongoing monitoring of regional credit environments and potential impacts from litigation and refinancing activities [29][31].

Group 1 - Li Bo has officially become the chairman of JD Consumer Finance, with the Tianjin Financial Regulatory Bureau approving his appointment [2][3] - The approval signifies the completion of the new management team at JD Consumer Finance, following the earlier approval of other board members [3] - JD Consumer Finance has been expanding its financial operations, including the acquisition of Jiexin Consumer Finance, which has now been renamed [4][5] Group 2 - JD Consumer Finance is currently owned by several entities, with Guangzhou Jingdong Trading Co., Ltd. holding 50% of the shares, followed by other stakeholders [5] - JD's financial technology group has seen Li Bo rise through the ranks, previously serving as the deputy general manager of the Hunan branch of the Industrial and Commercial Bank of China [3][8] - JD Consumer Finance has been involved in numerous legal proceedings, with 1,913 court announcements, primarily related to financial loan contract disputes [8][9]

Group 1: AI and Big Data in Finance - The integration of artificial intelligence and big data is reshaping the core operational models of the financial industry, with significant developments in China's fintech sector following the global AI wave initiated by ChatGPT [2] - Major financial institutions like ICBC and China Merchants Bank are leading the application of AI in finance, while Tencent Cloud and Ant Group excel in technology output [2] - Ant Group has developed a leading AI risk control system that supports real-time transactions and compliance for hundreds of millions of users [2] Group 2: Evolution of Credit Risk Assessment - The credit risk evaluation system in banks has evolved from information-based to data-driven and intelligent systems, driven by the deep integration of data and technology [3] - Traditional credit risk assessment relied heavily on customer-provided information and internal data, limiting the use of external data [3] - The rise of digital finance allows financial institutions to access a broader range of external data, enhancing the comprehensiveness of risk assessments [3] Group 3: Innovation in Banking Services - Banks are innovating their service models by integrating online and offline channels, enabling personalized services anytime and anywhere [4] - The application of technologies like Intelligent Process Automation (IPA) has significantly improved operational efficiency, reducing processing times from days to minutes [4] - The focus of banking innovation has shifted from product-centric to ecosystem-centric approaches, integrating business, data, and technology [5] Group 4: Challenges in Inclusive Finance - Financial services for small and micro enterprises face challenges due to high service costs and the inherent risk characteristics of these customer segments [6] - Information asymmetry exacerbates the difficulties in risk identification and control in these segments [6] - Data is recognized as a key production factor in the digital transformation, with its marginal utility increasing as it is reused [6] Group 5: Enhancements in Risk Control Models - Traditional risk control models are limited by the narrow scope of data used, often leading to inadequate risk assessments [7] - By integrating diverse data sources, including user behavior and environmental factors, a more comprehensive risk management system can be developed [7] - The value of data increases with volume and reduced application barriers, enhancing both social and economic value [7] Group 6: AI in Anti-Money Laundering - Ant Group's anti-money laundering system combines AI and graph computing to enhance the identification of complex relationships [9] - The system utilizes heterogeneous graph modeling to depict various entities and their relationships, enabling effective tracking of fund flows [9] - AI plays a crucial role in analyzing suspicious transactions and automating report generation, improving decision-making efficiency [10]