公告简历显示，杨军出生于1972年，1996年毕业于清华大学，获工学硕士学位，2003年毕业于清华大 学，获管理学博士学位。具有高级经济师职称。 采写：南都·湾财社记者 黄顺威 此前，杨军曾任中国建设银行风险监控部、风险管理部总经理助理，风险管理部副总经理兼市场风险管 理部副总经理、总经理，湖北省分行副行长等职务。 值得注意的是，在银行实务工作之外，杨军也有扎实的学术研究功底，曾出版《商业银行客户评价》 《银行信用风险管理：理论、模型与实证分析》等专著，还发表过《关于国有大型银行改革转型的思 考》《债务杠杆衡量及其管控策略》等多篇论文。 南都·湾财社记者注意到，杨军是中国银行2025年以来第二位引进的副行长。1月24日，中国银行公告 称，公司董事会聘任武剑为该行副行长；此后，武剑任职资格获核准并于2月24日起正式上任。据公 告，武剑加入中国银行前曾任光大银行党委副书记、纪委书记。 2025年以来，中国银行副行长一职接连变阵。1月，林景臻因年龄原因，辞去中国银行执行董事、副行 长等职务；4月29日，中国银行发布公告，刘进因职务变动，辞去该行副行长职务；6月，刘进被委任为 中国银行执行董事，任期三年。6月16日， ...

| 证券代码：601988 | 证券简称：中国银行 公告编号：临 2025-057 | | | | --- | --- | --- | --- | | 中国银行股份有限公司 | | | | | 中国银行股份有限公司（简称"中国银行"或"本行"）董事会及全体董事保证 | | | | | 本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容的真实 | | | | | 性、准确性和完整性承担法律责任。 | | | | | 重要内容提示： | | | | | ? | 本次会议是否有否决议案：无 | | | | 一、 会议召开和出席情况 | | | | | (一) | 7 18 股东大会召开的时间：2025 年 月 日 | | | | (二) | 股东大会召开的地点：中国北京市西城区复兴门内大街 1 号中 | | | | 国银行总行大厦 | | | | | (三) | 出席会议的普通股股东及其持有股份情况： | | | | 通过网络投票出席） | | | | | 其中：A 股股东人数 | 3,431 | | | | H 股股东人数 | 1 | | | | 其中：A | 225,827,542,254 股股东 ...

会杜律师事务所 北京市朝阳区东三环中路1号 环球金融中心办公楼东楼18层 邮编: 100020 18th Floor, East Tower, World Financial C 1 Dongsanhuan Zhonglu Chaoyang District Beijing, 100020 P.R. China T +86 10 5878 5588 -86 10 5878 5566 北京市金杜律师事务所 关于中国银行股份有限公司 2025年第二次临时股东大会 之法律意见书 致:中国银行股份有限公司 北京市金杜律师事务所(以下简称本所)接受中国银行股份有限公司(以下 简称公司）委托,根据《中华人民共和国证券法》《中华人民共和国公司法》(以 下简称《公司法》)、中国证券监督管理委员会《上市公司股东会规则(2025 修订)》 (以下简称《股东会规则》)等中华人民共和国境内(以下简称中国境内,为本法 律意见书之目的,不包括中国香港特别行政区、中国澳门特别行政区和中国台湾 省）现行有效的法律、法规、规范性文件和现行有效的《中国银行股份有限公司 章程》（以下简称《公司章程》）有关规定，指派律师出席了公司于 2025 年 ...

证券代码：601988 证券简称：中国银行 公告编号：临 2025-057 中国银行股份有限公司 2025年第二次临时股东大会决议公告 中国银行股份有限公司（简称"中国银行"或"本行"）董事会及全体董事保证 本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容的真实 性、准确性和完整性承担法律责任。 重要内容提示： 本次会议是否有否决议案：无 一、 会议召开和出席情况 | 1．出席会议的股东和代理人人数（包括现场出席及 | 3,432 | | --- | --- | | 通过网络投票出席） | | | 股股东人数 其中：A | 3,431 | | 股股东人数 H | 1 | | 2．出席会议的股东所持有表决权的股份总数（股） | 269,317,462,205 | | 股股东持有股份总数 其中：A | 225,827,542,254 | | 股股东持有股份总数 H | 43,489,919,951 | | 3．出席会议的股东所持有表决权股份数占本行有表 | 83.583827 | | 决权股份总数的比例（%） | | | 其中：A 股股东持股占股份总数的比例（%） | 70.086544 | | ...

证券代码：601988 证券简称：中国银行 公告编号：临 2025-056 1 杨军先生的个人简历如下： 杨军先生出生于 1972 年，2025 年加入本行。此前曾在中国建设银行 工作多年，2024 年 12 月至 2025 年 6 月任中国建设银行集团资产管理部 （养老金融部）总经理。2020 年 12 月至 2024 年 7 月任中国建设银行山 东省分行行长。2018 年 6 月至 2020 年 9 月任中国建设银行风险管理部总 经理。此前曾任中国建设银行风险监控部、风险管理部总经理助理，风险 管理部副总经理兼市场风险管理部副总经理、总经理，湖北省分行副行长 等职务。1996 年毕业于清华大学，获工学硕士学位，2003 年毕业于清华 大学，获管理学博士学位。具有高级经济师职称。 中国银行股份有限公司董事会决议公告 中国银行股份有限公司董事会及全体董事保证本公告内容不存在任何虚假记 载、误导性陈述或者重大遗漏，并对其内容的真实性、准确性和完整性承担法律责 任。 中国银行股份有限公司（简称"本行"）于 2025 年 7 月 18 日在北京 以现场表决方式召开了董事会会议，会议通知于 2025 年 7 月 11 ...

金十数据7月18日讯，中国银行7月18日晚间公告，董事会会议通过如下议案：聘任杨军为本行副行长。 杨军担任本行副行长的任职资格待国家金融监督管理总局核准。 中国银行：聘任杨军为本行副行长 ...

Core Viewpoint - The announcement reveals that China Bank Hong Kong Branch has won the bid to be the global coordinator for Guangzhou Metro Group's 2025 overseas bond issuance project, indicating a significant development in the financing strategy of the company [1]. Group 1: Project Details - Project Name: Guangzhou Metro Group 2025 Overseas Bond Issuance Global Coordinator Selection Project [1] - Project Number: CGCGW-202***** [1] - Bid Announcement Date: July 17, 2025 [1] Group 2: Winning Bidders and Fees - Winning Bidder: China Bank Hong Kong Branch with an underwriting fee rate of 0.05% and a bond rating fee rate of 0.0500%, along with other intermediary fees amounting to $193,730 [1] - Other winning bidders include: - Guotai Junan Securities (Hong Kong) Limited [1] - China International Capital Corporation Hong Kong Securities Limited [1] - Haitong International Securities Company Limited [1] - CITIC Securities (International) Company Limited [1] - CITIC Lyon Securities Limited [1] - All winning bidders have the same fee structure as China Bank [1].

Core Viewpoint - The China Securities Index for Hong Kong, Shanghai, and Shenzhen Dividend Growth Low Volatility Index (SHS Dividend Growth LV) has shown positive performance trends, with a 1.64% increase over the past month, 9.07% over the past three months, and an 8.71% increase year-to-date [1]. Group 1: Index Performance - The SHS Dividend Growth LV Index opened lower but closed higher, down 0.23% at 7477.8 points with a trading volume of 37.679 billion yuan [1]. - The index is composed of 100 securities selected from the mainland and Hong Kong markets, focusing on companies with continuous cash dividends, stable profit growth, and low volatility [1]. Group 2: Index Holdings - The top ten holdings in the SHS Dividend Growth LV Index include major banks such as China Construction Bank (2.5%), Postal Savings Bank (2.14%), and Industrial and Commercial Bank of China (1.85%) [1]. - The index's market allocation shows that the Shanghai Stock Exchange accounts for 55.01%, the Hong Kong Stock Exchange for 24.53%, and the Shenzhen Stock Exchange for 20.46% [2]. Group 3: Sector Allocation - The sector distribution of the index indicates that the financial sector holds the largest share at 45.02%, followed by industrial (19.67%) and healthcare (7.71%) sectors [2]. - Other sectors represented include consumer discretionary (7.22%), communication services (6.68%), utilities (5.44%), materials (4.59%), energy (1.96%), and consumer staples (1.70%) [2]. Group 4: Index Adjustment and Fund Tracking - The index samples are adjusted biannually, with changes implemented on the next trading day following the second Friday of June and December [2]. - Public funds tracking the SHS Dividend Growth LV Index include several funds managed by Invesco Great Wall [2].

Group 1 - China Bank signed a CIPS direct participation fund custody agreement with Mongolia's Transportation and Development Bank, marking a significant breakthrough in cross-border financial services [1] - The successful implementation of this agreement has significantly shortened the cross-border payment time between China Bank and Mongolian banks, enabling real-time fund transfers that previously took days [1] - This initiative promotes the use and circulation of the Renminbi in Mongolia, contributing to the internationalization of the currency [1] Group 2 - China Bank's Inner Mongolia branch has established a working group to enhance communication and cooperation with Mongolian financial institutions, focusing on policy and market research [2] - The branch has successfully established account relationships with the top seven commercial banks in Mongolia, facilitating cross-border clearing operations [2] - By the end of 2024, the average daily clearing amount in various currencies for Mongolian commercial banks is expected to exceed 400 million Renminbi, with an annual remittance volume of approximately 30 billion Renminbi [2]

Core Insights - The article emphasizes that Qifu Technology is becoming a key partner in the digital transformation of Chinese banks by integrating financial intelligence with business scenarios [1][7] - Qifu Technology's financial intelligence platform, Deepbank, and its various AI applications are designed to meet the real business needs of banks [2][7] Group 1: Financial Intelligence Development - Qifu Technology launched its self-developed financial intelligence platform Deepbank, which includes four core applications: AI Marketing Assistant, AI Approval Officer, AI Decision Assistant, and AI Compliance Assistant [2][3] - The financial intelligence system is built on a heterogeneous large model platform and a multi-agent collaborative framework, enabling deep understanding of financial semantics and user behavior [2][4] Group 2: Comprehensive Credit Solutions - The upgraded "Qifu Credit Super Intelligent Agent" includes five modules that cover the entire credit business process, enhancing decision-making capabilities [3][6] - The "End-to-End Credit Decision" module utilizes over 700 models and more than 1 billion historical decision data points to accurately assess user risk [3][4] Group 3: Technological Empowerment - Qifu Technology employs four technological engines: data flywheel, multi-modal fusion, self-evolution, and multi-agent collaboration to enhance the intelligence of its financial agents [4][5] - The AI Approval Officer can automatically extract key information from user applications and provide instant recommendations, significantly improving efficiency [5][6] Group 4: Practical Applications and Collaborations - Qifu Technology has demonstrated the effectiveness of its financial intelligence through partnerships with banks, leading to improved customer acquisition and reduced compliance risks [6][7] - A strategic cooperation agreement was signed with Guangdong Huaxing Bank to explore deep applications of AI in credit business, showcasing a collaborative model for digital transformation in banking [6][7]