Group 1 - The article lists various quantitative investment institutions recognized for their performance in different strategies, including index enhancement, macro quantitative, fundamental quantitative, and long-short hedging strategies [1][2] - Notable institutions include Ningbo Huansquare Quantitative Investment Management, Shanghai Yipai Investment Management, and Beijing Xinhong Tianhe Asset Management, which have been awarded for their excellence in specific quantitative strategies [1][2] - The recognition is categorized into annual and three-year awards, highlighting the sustained performance of these institutions over time [1][2] Group 2 - The article identifies key individuals recognized as industry experts in quantitative technology, such as Xu Zhongxiang from Shanghai Ruilian Jingchun Investment Management and Zhang Xiaoqian from Shenzhen Qianhai Chaoliangzi Fund Management [2] - It also mentions emerging institutions in the technology innovation sector, including Shenzhen Qianhai Chaoliangzi Fund Management and Beijing Weiguan Boyi Private Fund Management [2] - The focus on technology-driven investment strategies indicates a trend towards innovation within the quantitative investment industry [2]

Core Viewpoint - The role of traditional quantitative fund managers is expected to be replaced by artificial intelligence (AI) in the near future, as AI is seen as a powerful modeling tool that can enhance investment strategies [1][2]. Group 1: AI's Impact on Fund Management - AI is predicted to lead to a structural transformation in quantitative investment, with firms that do not adopt AI technology potentially facing obsolescence within 3 to 5 years [1]. - The introduction of AI in quantitative investment is likened to the impact of personal computers on Wall Street, suggesting a significant shift in investment methodologies [1]. - AI's ability to explore a wider range of possibilities in investment strategies is compared to the advancements seen in the game of Go with the introduction of AlphaGo [1]. Group 2: New Talent Requirements - The future of fund management will require hybrid talents who understand both investment research and AI technology, shifting focus from traditional research tasks to maintaining and developing advanced AI systems [2]. - The demand for personnel may decrease, but the required understanding of AI technology will be significantly higher [2]. Group 3: AI-Driven Quantitative Approach - The company adopts a unique approach by treating the traditional components of quantitative research—factors, signals, models, and strategies—as a unified process centered around machine learning [2]. - The firm does not employ individuals with financial backgrounds, instead opting for a team composed primarily of engineers and computer scientists [2]. Group 4: Competitive Advantages - The company claims competitive advantages in three areas: high talent density in AI, superior computational power compared to domestic universities, and a proprietary AI experimental platform designed for real-time modeling and trading tasks [3]. - The vision is to evolve from a traditional quantitative private equity firm to an AI-native "computational company" [3]. Group 5: Long-term Goals - The mid-term goal is to become a global quantitative manager, while the long-term aspiration is to establish itself as a significant computational company [3]. - The company envisions that Chinese fund managers will be able to compete on a global scale within the next decade, leveraging AI and new computational methods [3].

● 本报记者 林倩 11月28日，由中国证券报主办，华鑫证券、西岸集团联合承办，深圳数据经济研究院提供独家学术支持 的"2025量化行业高质量发展大会暨金融科技·量化机构金牛奖颁奖典礼"在上海徐汇西岸举行。华鑫证 券党委书记、董事长俞洋在致辞中表示，量化投资的发展已站在新的历史起点，唯有将创新精神融入行 业血脉，将责任担当刻入发展基因，方能行稳致远。 作为2025证券业金牛奖的重要组成部分，在本次活动上，金融科技·量化机构金牛奖也同步揭晓。俞洋 表示，金牛奖作为行业标杆，不仅是对优秀量化机构创新能力、专业成果的展示，更是对行业坚守责 任、合规经营的激励。期待获奖机构发挥标杆作用，带动更多同行以创新不越界、担当不缺位的姿态， 推动行业高质量发展。 展现蓬勃发展活力与创新动能 放眼全球，量化投资已有半个多世纪的演进，从理论探索到规模化、系统化应用，一定程度上影响着资 本市场的运行生态。俞洋表示，我国量化投资虽起步相对较晚，但依托庞大的市场容量、持续进步的金 融科技以及日益完善的监管环境，展现出蓬勃的发展活力与创新动能，量化投资正迎来以创新提质、责 任筑基为特征的黄金发展期，创新与责任在资本市场中的价值体现日益突出 ...

当人工智能席卷全球，一个问题变得前所未有地尖锐：基金经理的角色是否会被AI取代？ "我坚信人工智能必定会取代传统的量化投资基金经理。"倍漾量化创始人冯霁给出了坚定的判断。这位 新锐量化投资人于11月28日在中国证券报主办的"2025量化行业高质量发展大会"期间接受了中国证券报 记者采访。在他看来，量化投资正在迎来一场结构性重塑，而新范式的大门已经打开。 ● 本报记者王雪青 正是基于这种根本性的认知差异，倍漾量化选择了一条与行业不同的发展路径：公司没有一名金融背景 的员工，几乎清一色是工程背景，由计算机科学家和算法竞赛"金牌选手"组成。 "任何人能想出来的挖掘因子的方式，只要给机器足够多的数据，AI能更好地挖掘出来，而且质量会更 高。"他表示，"人工智能的目的就是取代专家经验，我们也是这个方向非常坚定的践行者。" 冯霁说："就像数十年前个人计算机和服务器推出，华尔街是最早采用计算机服务器来进行量化投资 的。今天的人工智能也是如此，AI作为一个强大的建模工具，我们没有理由不去拥抱它。" "AI量化投资与AI围棋有相似之处。"冯霁举例道，"在AlphaGo推出之前，人类下围棋的开局定式几十 年都没有变化，但当有了A ...

11月28日，由中国证券报主办，华鑫证券、西岸集团联合承办，深圳数据经济研究院提供独家学术支持 的"2025量化行业高质量发展大会暨金融科技·量化机构金牛奖颁奖典礼"在上海徐汇西岸举行。大会 以"创新驱动·责任担当"为主题，深入探讨人工智能（AI）等新技术如何重塑量化投资生态。 会上同步揭晓了作为2025证券业金牛奖重要组成部分的"金融科技·量化机构金牛奖"获奖名单，48家机 构凭借卓越表现脱颖而出。 从"速度"到"智能"演进 在论坛上，华鑫证券副总经理、首席信息官王习平分享了证券公司视角下的金融科技实践路径。他介 绍，自2017年提出"金融科技引领业务发展"战略以来，公司选择从提升二级市场投资效率切入，以"速 度"为突破口打造量化投资基础设施。 "在打造极速系统时，我们更注重系统性度量与全局优化，而非单一指标的竞争。"王习平表示，公司通 过平衡速度、容量与延时等指标，最终实现整体投资效率的提升。基于速度优势，公司进一步构建了包 含仿真演练平台在内的技术体系，通过低成本试错机制推动系统持续迭代升级。同时，通过与智能终 端、数字分析等领域的合作伙伴协同，华鑫证券实现了从单一系统到完整投资生态的演进。 王习平透露 ...

Core Insights - The conference themed "Innovation Driven, Responsibility Undertaken" highlighted the significant role of quantitative investment in reshaping the financial ecosystem through the integration of technology and finance [1][4] - The industry is entering a golden development period characterized by innovation and responsibility, with a focus on enhancing financial service quality and supporting the real economy [1][2] Industry Trends - Quantitative investment is seen as a core engine for improving financial service efficiency, driven by advancements in AI, big data, and high-performance computing [1][3] - The shift from human-driven to AI-enabled investment research is transforming the industry's foundational logic, emphasizing the need for a balance between speed, capacity, and latency in investment efficiency [2][3] Technological Integration - The integration of AI technology into the investment research process is crucial for enhancing decision-making quality rather than replacing human judgment [3] - Companies are encouraged to pursue a "chemical fusion" of technology and investment expertise to create a differentiated competitive advantage in the digital era [3] Event Highlights - The conference served as an effective dialogue platform for the quantitative industry, fostering discussions on innovation pathways and consensus on key issues such as AI governance and compliance risk management [4]

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俞洋认为，量化投资正以责任担当引导投资者结构优化，"量化机构肩负资产管理的受托责任，凭借系 统化的风险控制与收益优化能力，为一般投资者提供专业的机构化投资渠道，推动市场向'机构主导'转 型，以责任践行信义义务，守护投资者合法权益"。 作为2025证券业金牛奖的重要组成部分，在本次活动上，金融科技·量化机构金牛奖也同步揭晓。俞洋 表示，金牛奖作为行业标杆，不仅是对优秀量化机构创新能力、专业成果的展示，更是对行业坚守责 任、合规经营的激励。期待获奖机构发挥标杆作用，带动更多同行以"创新不越界、担当不缺位"的姿 态，推动行业高质量发展。 展现蓬勃发展活力与创新动能 放眼全球，量化投资已有半个多世纪的演进，从理论探索到规模化、系统化应用，一定程度上影响着资 本市场的运行生态。俞洋表示，我国量化行业虽起步相对较晚，但依托庞大的市场容量、持续进步的金 融科技以及日益完善的监管环境，展现出蓬勃的发展活力与创新动能，量化投资正迎来以"创新提质、 责任筑基"为特征的黄金发展期，"创新"与"责任"在资本市场中的价值体现日益突出。 "技术创新正筑牢金融科技发展内核。"俞洋表示，作为金融科技的核心应用场景，量化投资通过深度融 合大数 ...

11月28日，由中国证券报主办，华鑫证券、西岸集团联合承办，深圳数据经济研究院提供独家学术支持 的"2025量化行业高质量发展大会暨金融科技·量化机构金牛奖颁奖典礼"在上海徐汇西岸举行。 本次大会以"创新驱动·责任担当"为主题，来自国内顶尖量化机构、科技领军企业的超300位嘉宾，围绕 金融科技赋能业务发展、量化投资创新、AI技术应用等前沿议题，共同探讨证券行业发挥"金融+技 术"优势、助力新质生产力发展的路径。 微软中国首席技术官韦青表示，当前证券行业智能化转型的核心在于信息处理能力，机构需把握技术发 展周期规律，明确人机协同边界，避免简单追逐AI概念。同时应坚持实证导向，将技术深度融入业务 流程，实现"化学性融合"而非"物理性叠加"。唯有技术能力与投资专业知识深度融合，方能在数字化时 代构建差异化竞争优势。 在本次大会的圆桌论坛环节，华鑫证券首席数据官、信息技术部总经理崔宏禹，鸣石基金创始人、总经 理袁宇，平方和投资创始人、总经理吕杰勇，宽投资产总经理严宓，锐联景淳创始人、首席投资官许仲 翔，广州守正用奇董事长何荣天，纵论AI重塑量化投资，探讨技术前沿与实战应用的边界。 在俞洋看来，我国量化行业虽起步相对较 ...