HSBC International Wealth and Premier Banking (IWPB) Within International Wealth and Premier Banking (IWPB), we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and
HSBC International Wealth and Premier Banking (IWPB) Within International Wealth and Premier Banking (IWPB), we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and
HSBC International Wealth and Premier Banking (IWPB) Within International Wealth and Premier Banking (IWPB), we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and
HSBC International Wealth and Premier Banking (IWPB) Within International Wealth and Premier Banking (IWPB), we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and
We are currently seeking an experienced professional to join our team. In this role, you will: Supporting tasks to assist in maintaining and strengthening distribution channel relationships, whilst coordinating the relevant business initiatives. Deliver one-on-one coaching
HSBC International Wealth and Premier Banking (IWPB) Within International Wealth and Premier Banking (IWPB), we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and
HSBC International Wealth and Premier Banking (IWPB) Within International Wealth and Premier Banking (IWPB), we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and
HSBC Corporate and Institutional Banking(CIB) HSBC Corporate and Institutional Banking is a markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We
HSBC Corporate and Institutional Banking(CIB) HSBC Corporate and Institutional Banking is a markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We
岗位：区域市场经理 职责描述： 市场规划：洞察市场数据，通过内外部市场数据的汇总分析，得出市场增长点，同时通过合理分配整合资源，搭建会议平台，推动产品不断提升市场份额； 高效运营：细分市场活动，建立KOL维护库，定期拜访KOL，传递产品优势，专业互动，培养讲者，匹配合适的学术会议，推动业务团队高效执行各类学术会议； 激励共赢：高效的跨部门合作，尤其是RM，DM以及和中央市场的合作互动，培训员工疾病领域和产品知识，定期分享市场数据并帮助业务团队设定提升市场份额方案； 自我提升：不断提升疾病领域知识和产品知识，提升沟通合作技巧 任职资格 教育背景：具有医学、药学或相关专业，本科及以上学历 工作经验：1年以上制药行业区域市场相关工作经验，或2年以上地区经理工作经验 具备市场分析、策略拆解、客户管理、活动执行等关键技能 具备韧性、学习敏锐度、结果导向、强执行等特质 具备高度的合规意识 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds,
HSBC Corporate and Institutional Banking(CIB) HSBC Corporate and Institutional Banking is a markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We
HSBC International Wealth and Premier Banking (IWPB) Within International Wealth and Premier Banking (IWPB), we serve 41 million customers globally, including 6.7 million who are international, from retail customers to ultra high net worth individuals and
算法工程师 - Agent Beijing Full-time R&D - Algorithm Responsibilities 负责公司AI Agent方向的算法研究与落地工作，围绕个性化内容生成与长期记忆构建，将大模型训练技术（SFT、RL等）应用于Agent能力的持续提升，具体职责包括但不限于：1. Agent架构设计：面向个性化内容生成和角色交互场景，设计并实现基于大语言模型的Agent架构；定义Agent的编排流程、工具调用（Tool Use）、反思（Reflection）等核心范式，使Agent能够基于用户画像和历史交互生成高度个性化的内容与回复2. Agent训练与优化：运用SFT、RFT、PPO、DPO、GRPO等训练方法，针对Agent场景设计专项训练方案；构建Agent行为轨迹数据集，通过强化学习优化Agent的个性化生成质量、记忆调用准确性和多轮对话一致性3. 训练环境设计：构建Agent训练所需的真实可执行交互环境（工具调用沙箱、用户模拟器、多轮对话场景等），定义状态空间、动作空间和反馈信号，为Agent提供高质量的训练闭环4. 奖励建模：设计Agent专用的奖励函数与评估体系，针对个性化程度、内容一致性、记忆调用准确性、用户满意度等多维目标，结合过程奖励模型（PRM）、生成式奖励模型（GRM）以及个性化奖励模型（Personalized RM，基于用户偏好和交互历史动态调整奖励信号），实现对Agent行为链路的细粒度奖励，解决奖励稀疏、奖励欺骗等核心难题5. 记忆与个性化系统：构建可解释、可迁移、可控的Agent记忆架构，支持用户偏好的长期建模与动态更新；实现记忆的版本化管理，支持精确遗忘（通过token删除）和跨模型迁移，保障个性化体验的连续性与可控性6. 持续学习（Continual Learning）：研究并实现Token Space下的持续学习机制，通过更新Agent的learned context（系统提示、记忆库、工具定义等）而非模型权重来实现Agent的持续进化；解决context poisoning（上下文污染）/ context rot（上下文退化）等有限上下文窗口下的记忆退化问题，在避免灾难性遗忘的前提下实现Agent知识的增量积累8. 快速实验与迭代闭环：具备从eval构建、数据准备、方案实现到结果评估的全链路快速实验能力；参与Agent的线上A/B实验设计，通过线上效果度量和用户反馈分析定位算法瓶颈，驱动下一轮训练与模型优化的方向 Qualifications 1. 优秀的代码能力、数据结构和基础算法功底，熟练C/C++或Python，ACM/ICPC、NOI/IOI、Top Coder、Kaggle等比赛获奖者优先；2. 熟悉NLP相关的算法和技术，具备大模型训练和RL算法的实践经验；3. 对LLM-based Agent系统有深入理解，具备Agent训练或Agent系统相关的项目经验；4. 能系统性拆解Agent在长期记忆管理、个性化内容生成、上下文窗口利用等场景的挑战，提出创新解决方案；5. 具备较强自驱力，能与产品、算法团队紧密协作，推动技术从研究到落地的全链路闭环。加分项：1. 在Agent记忆机制、个性化生成、持续学习、上下文优化（如DSPy等prompt optimization方法）等方向有论文成果；2.