Core Insights - The latest Bloomberg survey indicates that students in the Greater Bay Area are enthusiastic about cross-border fintech careers, with a growing demand for AI-related skills, highlighting the region's attractiveness as a hub for fintech talent development [2] Group 1: Student Interest and Skills Demand - Over 160 students participated in the survey, with nearly three-quarters (74%) expressing a strong willingness to engage in cross-border fintech careers [2] - Key advantages identified for pursuing fintech in the Greater Bay Area include "cross-border opportunities" (76%), "access to a large and diverse market" (76%), and "proximity to tech and financial hubs" (65%) [2] - AI and machine learning are the most sought-after skills among young fintech talents, with two-thirds (66%) of students wishing to further their studies in this area, a significant increase from last year's 54% [2] Group 2: Forum and Government Support - The Greater Bay Area Fintech Talent Summit, held on November 26, sparked lively discussions on cross-border collaboration and how AI innovation is reshaping the talent landscape in the world's most dynamic financial region [2] - The summit featured key figures such as the Secretary for Financial Services and the Treasury of the Hong Kong SAR, who emphasized the importance of talent in driving innovation, particularly in fintech [4] - The Hong Kong Monetary Authority's Deputy Chief Executive highlighted the establishment of an innovative financial ecosystem in Hong Kong, focusing on talent development and collaboration with the Greater Bay Area [4] Group 3: Program Development and Employment Preferences - The Greater Bay Area Fintech Talent Development Program, launched in 2022, has become a key initiative for cultivating financial talent in the region, now including students from Shenzhen for the first time [4] - Students showed a significant increase in preference for large, established financial institutions (60%), up from 47% last year, while interest in startups and innovation labs remained at 13% [5] - The program provides essential support through fintech training courses (77%), internship opportunities (76%), and mentorship (71%) [5] Group 4: Program Objectives and Partnerships - The Greater Bay Area Fintech Talent Development Program, a collaboration between Bloomberg, the Hong Kong Youth Association, and the Hong Kong Monetary Authority, aims to help university students understand cross-border financial projects and fintech trends [8] - The program offers professional training, career guidance, and opportunities for students to connect with industry leaders and experts [8] - It is also part of Bloomberg's global corporate philanthropy initiative, focusing on helping students acquire the skills and experiences necessary for employment and entrepreneurship [8]

格隆汇12月29日｜据Cointelegraph，摩根大通近期冻结两间稳定币初创公司BlindPay和Kontigo的银行帐 户，疑与委内瑞拉有关。摩通发言人强调，是次冻结纯粹出于合规考虑，与稳定币公司毫无关系。该两 间受影响的初创公司均获得Y Combinator的支持，主要在拉丁美洲营运，透过数码支付公司Checkbook 使用摩根大通的银行服务。 Checkbook总裁PJ Gupta解释，由于拒付率显著上升，BlindPay和Kontigo的 帐户受到影响，客户快速注册，导致纠纷大幅增加，最终促使银行暂时冻结了有关帐户。 ...

Core Viewpoint - The People's Bank of China has implemented a one-time credit repair policy that allows eligible individuals to have overdue information not displayed in the financial credit information database, leading to potential scams by fraudsters posing as financial institutions offering credit repair services [1][7]. Group 1: Policy Overview - The new credit repair policy is automatic, meaning individuals do not need to apply; the central bank's credit system will identify and adjust eligible overdue information automatically [2][8]. - The policy applies to all institutions connected to the central bank's credit system, covering overdue information from personal loans on lending platforms if the lender is connected to the system [2][8]. - Specific conditions for overdue information to qualify for repair include: 1) the overdue occurred between January 1, 2020, and December 31, 2025; 2) the overdue amount does not exceed 10,000 RMB; 3) the overdue debt must be fully repaid by March 31, 2026 [2][8]. Group 2: Fraud Risks - Fraudsters have exploited the new policy, creating scams that mislead individuals unfamiliar with the rules, claiming to offer credit repair services for a fee [2][8]. - Three main types of scams related to credit repair have been identified: 1) falsely claiming to apply for credit repair for a fee; 2) fabricating internal documents to suggest additional conditions for the policy; 3) inducing consumers to engage in "debt rollover" schemes, leading to higher debt costs [2][8]. Group 3: Company Initiatives - The company has been actively collaborating with regulatory bodies and law enforcement to combat financial fraud related to credit repair and other gray market activities [5][11]. - Utilizing technological advantages in AI and smart models, the company has established a mechanism for sharing leads and conducting joint investigations with police, resulting in the resolution of nearly 100 cases and the dismantling of 25 organized crime groups over the past two years [5][11]. - The company emphasizes the importance of protecting personal information and advises users to avoid engaging with suspicious communications regarding credit repair [5][11].

记者 查睿 据介绍，该评测体系汇聚了4个公开数据集与22个自建数据集，约3.6万条评测数据，采用循环选项 打乱机制和多样化提示词，并研发金融裁判大模型，实现评测全流程自动化、标准化，为上海金融领域 银行、券商、基金、投资等企业或者机构人员提供权威、精准的大模型能力评估，助力机构选型、优化 及风险把控。 在最新的评测体系下，今年的金融大模型测试结果全面超越去年，行业平均71.9分提升到87.37分。 同时，测试结果还发现，海内外大模型整体能力相差不大，但在中文领域，国内大模型处于领先水平。 另外，国内金融大模型在语言理解、术语消歧、法规政策更新和合规对齐等领域领先，国外金融大模型 则在数学计算、跨步推理、跨语言推理和超长文本处理上领先。 近日，2025金融大模型评测体系在上海发布，这是去年全国首个金融大模型评测体系发布以来第一 次全面升级至2.0版，主要聚焦标准引领、数据驱动、安全可信与生态共建四方面。 大模型评测体系通常是评估大模型的性能、安全性、可靠性等方面的指标、方法、基准和流程的集 合。近年来，国内涌现出多个金融大模型，但行业内还缺少较为权威和被认可的评测体系。而2025金融 大模型评测体系，相当于为行 ...

Group 1: Commercial Aerospace - The Shanghai Stock Exchange has issued guidelines for commercial rocket companies to apply for the fifth set of listing standards on the Sci-Tech Innovation Board, providing a clear operational guide for IPO applications [1] - The industry outlook suggests that national support for quality commercial rocket companies will lead to a golden era for commercial aerospace, with valuations transitioning from "policy expectations" to "institutional realization" [1] Group 2: Financial Technology - A new implementation plan for the high-quality development of digital finance in the banking and insurance sectors has been released, outlining 33 tasks across various areas including governance, services, technology application, data development, risk management, and regulatory transformation [3] - The financial industry is identified as a prime candidate for AI application due to its data-intensive nature, making it an excellent testing ground for digital transformation [3] Group 3: Huawei Ascend - Huawei plans to launch its latest AI chip, Ascend 950, in the South Korean market by 2026, along with AI computing cards and overall data center solutions [7] - ByteDance is expected to place orders for Ascend chips totaling over 40 billion yuan by 2026, a significant increase from nearly zero in 2025 [7] Group 4: Humanoid Robots - The establishment of a standardization committee for humanoid robots and embodied intelligence has been announced by the Ministry of Industry and Information Technology [11] - The industry outlook anticipates rapid mass production of humanoid robots by mid-2026, benefiting component manufacturers with strong manufacturing and management capabilities [11]

央行副行长陆磊发文称，中国人民银行将出台《关于进一步加强数字人民币管理服务体系和相关金融基 础设施建设的行动方案》，新一代数字人民币计量框架、管理体系、运行机制和生态体系将于2026年1 月1日正式启动实施。（金融时报） ...

Core Viewpoint - The Fourth China Graduate Financial Technology Innovation Competition successfully concluded, showcasing the integration of cutting-edge technology and innovative thinking in the financial technology sector, with participation from 112 graduate teams nationwide [1] Group 1: Event Overview - The competition, initiated in 2022, is guided by the Ministry of Education, the People's Bank of China, and the National Financial Professional Degree Graduate Education Steering Committee, co-hosted by Jianye District and Nanjing University [1] - A total of 1,377 teams registered for this year's competition, matching the total participation of the previous three years, indicating strong interest from graduate students in financial technology [1] - The event introduced the "ranking and leadership" mechanism for the first time, which allows financial institutions to present real-world technical challenges for teams to solve [1][2] Group 2: "Ranking and Leadership" Mechanism - The "ranking and leadership" mechanism involves financial institutions and fintech companies creating a list of key technical challenges based on actual business needs, which are then publicly released to universities [2] - This approach aims to address pain points in financial practices by allowing teams to tackle real-world problems with their solutions [2] - A total of 14 high-quality competition topics were selected from 10 financial institutions, covering areas such as big data, artificial intelligence, and image recognition [2] Group 3: Benefits for Enterprises and Universities - For enterprises, the mechanism transforms real business pain points into solvable competition topics, facilitating problem-solving through competition [3] - The competition allows universities to engage deeply with industry needs, overcoming previous challenges of disconnected research efforts [3] - The model enhances the relevance of academic research to market demands, providing students with practical resources to develop their innovation and practical skills [3] Group 4: Regional Development and Future Prospects - Jianye District's hosting of the national competition reflects its strategic development goals, showcasing its financial technology industry and enhancing its reputation [4] - The competition serves as a platform for discovering and nurturing young talent, linking academic research with industry needs [4] - The "ranking and leadership" mechanism exemplifies the integration of technology and industry innovation, creating a collaborative path for enterprises and universities [5] - Future efforts will focus on establishing a regular platform for industry-academia collaboration, promoting the deep integration of financial technology resources and talent [5]

Group 1 - BBSB International Limited has passed the listing hearing on the Hong Kong Stock Exchange's Growth Enterprise Market, focusing on large-scale transportation infrastructure projects in Malaysia [1] - BBSB's listing highlights the financing opportunities for regional engineering firms and the Hong Kong Stock Exchange's international appeal for overseas growth companies [1] Group 2 - Shenzhen Chengtai Technology Co., Ltd. has submitted a listing application to the Hong Kong Stock Exchange, specializing in the design, research, development, and manufacturing of millimeter-wave radar products [2] - Chengtai Technology is the largest domestic supplier in China's vehicle-mounted forward millimeter-wave radar market, with a market share of 9.3% in 2024 [2] - The listing reflects the Hong Kong Stock Exchange's attractiveness to hard-tech companies in the intelligent driving sector, aligning with trends in domestic substitution and increased penetration of intelligent driving [2] Group 3 - Yuxin Technology has submitted a second listing application to the Hong Kong Stock Exchange, aiming to establish an "A+H" dual capital platform [3] - The company provides full-stack technology solutions to a wide range of financial institutions, indicating a commitment to enhance AI research and global expansion through the Hong Kong listing [3] Group 4 - Hunan Hongxing Cold Chain Co., Ltd. has passed the listing hearing on the Hong Kong Stock Exchange's main board, focusing on frozen food storage and rental services [4] - The company is the largest provider of frozen food storage services in Central China and Hunan Province, with market shares of 2.6% and 13.6% respectively [4] - Hongxing Cold Chain's listing is expected to strengthen its local market position and serve as a case for capitalizing regional deep-rooted enterprises [4]

对于银企共赢共生的关系，毛君进用一个生动的比喻作出阐释："如果金融机构是一棵葡萄树，龙腾这样的金融科技企业就是枝叶。"金融企业有强大的客户 资源、客户的信任、强大的资金、强大的系统支持，这是根本，也是金融科技企业发展的根本。作为"枝叶"， 龙腾集团则延伸至各类生活场景，深入了解 用户需求、优化用户体验，在场景中收集用户数据与偏好，再将这些 "养分"反馈给银行。 最后，她强调：金融科技企业与银行的合作是互相滋养的过程。 银行频道更多独家策划、专家专栏，免费查阅>> 责任编辑：小讯 12月26日，由金融界主办、宁波银行支持、清华大学经济管理学院中国金融研究中心提供学术支持的"启航·2025银行业高质量发展年会"在北京成功举办。 本次年会以"凝心启新，聚力致远"为主题，汇聚监管专家、学界精英、行业领袖及科技企业代表，围绕服务实体经济、数字化转型、AI+金融创新、风险防 控等议题展开深度讨论，为银行业高质量发展建言献策。 龙腾集团中国区总裁 毛君进在参加圆桌讨论上，从金融科技企业视角分享了生态共建与银企共生的实践与思考。 毛君进表示，龙腾集团的20年发展是从线上化、平台化转型到智能化，大致经历了三个关键阶段。即从"即 ...

Core Viewpoint - The Chinese concept stock market is undergoing significant changes in 2025, characterized by a wave of privatizations and delistings from U.S. exchanges, while a number of small and medium-sized enterprises continue to seek global financing opportunities, particularly through listings in the U.S. and Hong Kong [3][4]. Group 1: Privatization and Delisting - Geely Automobile completed the privatization of Zeekr, which became a wholly-owned subsidiary and delisted from the NYSE. The privatization was marked by a rapid process, with 70.8% of Zeekr shareholders opting for shares and 29.2% for cash, totaling $701 million [6]. - Dada Group, part of the JD ecosystem, was privatized by JD Group at a valuation of $520 million, allowing for more strategic flexibility and deeper collaboration with JD in the instant retail market [7]. - Financial One Account pioneered dual delisting by completing its exit from both the NYSE and Hong Kong Stock Exchange, with a privatization deal valued at approximately HKD 1.69 billion, driven by long-term low stock prices and liquidity issues [7]. Group 2: Trends in U.S. Listings - In 2025, 63 Chinese companies went public in the U.S., raising approximately $1.12 billion, indicating a trend of increasing numbers but decreasing fundraising amounts, with an average fundraising of less than $20 million [9]. - The largest IPOs included Bawang Tea and Ascentage Pharma, raising $411 million and $126 million respectively, highlighting a shift towards smaller enterprises in the U.S. market [9][10]. - The outlook for 2026 is cautious, as new listing requirements from Nasdaq may lead to a decline in the number of Chinese companies able to meet these standards [10]. Group 3: Return to Hong Kong - The trend of Chinese companies returning to Hong Kong is gaining momentum, with companies like Pony.ai and Hesai achieving dual primary listings, which is becoming the mainstream return model [12]. - Hesai's IPO in Hong Kong was the largest in the global lidar industry to date, raising over HKD 4.16 billion (approximately $533 million) [12]. - Other companies, such as Tianjing Biopharma, are also planning to pursue dual listings in Hong Kong, indicating a broader trend of returning to Asian markets [12]. Group 4: Strategic Implications - Some analysts suggest that privatization followed by IPOs in Hong Kong or A-shares may allow companies to escape U.S. regulatory pressures and achieve better valuations in local markets [13].