{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5819471004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5059706004,"location":{"name":"Beijing, China; Shanghai, China"},"metadata":null,"id":5819471004,"updated_at":"2026-06-05T01:06:54-04:00","requisition_id":"113","title":"Agent Harness Research Engineer","company_name":"AXQ Capital","first_published":"2026-03-04T17:03:05-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;安贤投资（AXQ Capital）致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建多市场多策略投资体系。策略布局覆盖全球股票统计套利、A股指数增强、CTA、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。 \u0026amp;nbsp;自 2018 年以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在北京、上海、香港、纽约设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位职责\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;作为 Agent Harness 研究工程师，你将向 PM 汇报，并与量化研究团队紧密合作，构建面向量化研究场景的 AI Agent 应用系统、研究工作流与策略生成能力。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;量化投资提供了直接且可量化的现实反馈，包括策略表现、回测结果、实盘 PnL 和市场变化。你将基于这些反馈，不仅推动 AI Agent 参与研究、验证和迭代过程，还需要利用 Agent 系统持续产生可评估的策略想法、研究结论和改进方案，帮助提升研究效率与策略发现能力。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;你将负责：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;设计和开发面向量化研究的 Agent Harness，建设 Prompt、Tool Calling、Memory、Workflow Orchestration、Evaluation 等核心模块，为 Agent 参与量化研究提供稳定、可复用、可观测的基础设施；\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;与量化研究员合作，将数据分析、特征生成、信号验证、回测分析、研究报告整理等任务沉淀为可复用的 Agent workflow，并集成内部研究平台、数据系统和回测基础设施；\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;基于 Agent workflow 主动探索、生成和验证量化策略想法，跟踪和分析 Agent Driven 策略的回测表现、实盘表现、失败案例和市场适应性，提出改进方向，并主导相关 Agent workflow 与策略逻辑的持续迭代；\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;跟踪主流大模型、Agent 框架、AI 编程工具和自动化研究方法，开展技术调研、原型验证和应用探索。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;本科及以上学历，毕业于国内外顶尖大学的计算机等相关专业；\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;有 AI Agent、大模型应用、自动化工作流、Coding Agent、AI Research Assistant、数据分析平台或自动化科研系统等实际项目落地经验；\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉 Prompt Engineering、Tool Calling、RAG、Workflow Orchestration 或 Agent 框架中的一种或多种，具备良好的工程实现能力、代码质量意识和问题排查能力；\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;自驱、负责、行动力强，对真实世界复杂问题和 AI 应用落地有强烈兴趣；具备良好的逻辑分析能力和沟通协作能力，能够与量化研究员共同拆解问题、设计方案并推动落地。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4018250004,"name":"Technology","child_ids":[],"parent_id":null}],"offices":[{"id":4030591004,"name":"Beijing","location":"Beijing, China","child_ids":[],"parent_id":null},{"id":4032400004,"name":"Shanghai","location":"Shanghai, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/6010042004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5160581004,"location":{"name":"Beijing, China; Shanghai, China"},"metadata":null,"id":6010042004,"updated_at":"2026-06-01T10:09:23-04:00","requisition_id":"120","title":"Algorithmic Trading Researcher","company_name":"AXQ Capital","first_published":"2026-06-01T09:22:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;安贤投资\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;多市场多策略\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;投资体系。策略布局覆盖全球股票统计套利、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;A\u0026lt;/span\u0026gt;股指数增强、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;CTA\u0026lt;/span\u0026gt;、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。自\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;2018\u0026lt;/span\u0026gt;年成立以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;北京、上海、香港、纽约\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位职责\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;作为\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;算法交易研究员（Algorithmic Trading Researcher）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;，您将深入参与公司交易执行系统与策略的核心环节。您将专注于通过微观层面的信号和算法策略研究，优化整体资产组合的交易路径并降低交易成本。我们提供先进的高频回测基础设施与覆盖全球主要交易所的高质量数据支持。您的主要职责包括：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;算法策略研发：运用概率统计、机器学习、控制理论等方法，设计、研发与优化自动化算法交易，优化报撤单逻辑\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;微观信号挖掘：深入分析市场微观结构、订单簿动态及其他高频L3数据，挖掘高效的短周期预测信号，用以降低交易成本\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;交易分析与迭代：进行全面的交易成本分析，精准跟踪、评估和分析交易算法策略的实盘表现，提出针对性改进建议并主导策略的持续迭代\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;系统优化与回测：参与优化高保真的算法交易模拟回测系统及数据分析框架，提升研发效率，确保回测结果与实盘执行表现的高度一致\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;国内外知名高校本科及以上学历，具有理工科（计算机、电子、数理等）或金融工程等强定量背景\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具有 2 年及以上 算法交易、高频交易、做市商或相关领域的实际工作/研究经验，对市场微观结构有深入的理论认知和实践\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟练掌握 Python，并具备扎实的编译式语言开发能力，掌握或了解主流高频/大规模数据处理工具与库\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;对量化交易和算法交易充满热情，逻辑严谨，善于钻研，具备出色的问题解决能力和快速学习能力\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;加分项：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;有知名算法提供商、高频交易团队、外资投行执行部门（Execution Desk）经验者优先\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;在顶级学术期刊或会议上发表过研究成果，或获得过国际/国内数学、物理、计算机等奥林匹克竞赛奖项\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4030591004,"name":"Beijing","location":"Beijing, China","child_ids":[],"parent_id":null},{"id":4032400004,"name":"Shanghai","location":"Shanghai, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5569628004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4945040004,"location":{"name":"Shanghai, China"},"metadata":null,"id":5569628004,"updated_at":"2026-06-04T21:43:26-04:00","requisition_id":"86","title":"Head of Data Platforms","company_name":"AXQ Capital","first_published":"2025-06-23T04:18:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;安贤投资\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;多市场多策略\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;投资体系。策略布局覆盖全球股票统计套利、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;A\u0026lt;/span\u0026gt;股指数增强、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;CTA\u0026lt;/span\u0026gt;、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。自\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;2018\u0026lt;/span\u0026gt;年成立以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;北京、上海、香港、纽约\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;strong style=\u0026quot;color: rgb(61, 116, 204); font-size: 24px;\u0026quot;\u0026gt;岗位使命\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;作为数据平台负责人\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（Head of Data Platforms）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;，你将向 CTO 汇报，负责公司数据平台团队的管理、规划和建设。你将带领团队面向全球多市场、多资产、多策略的量化业务场景，构建覆盖数据接入、清洗、校验、存储、计算、分发、治理和统一访问的数据平台能力，支持研究、回测、模拟交易、实盘交易和风控等核心业务流程。\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong style=\u0026quot;color: rgb(61, 116, 204); font-size: 24px;\u0026quot;\u0026gt;主要职责\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;1. 团队管理与项目推进\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;负责数据平台团队的日常管理、人员培养、项目规划、任务拆解、优先级协调和落地推进。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;建立清晰的团队目标、交付节奏和工程标准，持续提升团队交付质量、研发效率和系统稳定性。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;推动代码评审、测试体系、发布流程、系统监控、问题复盘和技术文档等工程机制建设，提升团队整体工程质量。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;与研究、投资、交易、风控和管理团队紧密协作，识别关键数据需求和工程瓶颈，制定可落地的技术方案并推动执行。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;2. 数据平台架构与核心链路建设\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;负责全球多市场、多资产类别的数据平台架构设计与持续演进。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;建设覆盖数据接入、清洗、校验、存储、计算、分发和统一访问的端到端数据链路，支持研究、回测和实盘交易。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;推动行情数据、参考数据、订单与成交数据、因子数据、另类数据等核心数据域的标准化、模块化和平台化建设。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;设计并维护面向量化研究和生产交易的数据服务接口，提升数据使用体验、系统可扩展性和研发效率。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;3. 数据质量、数据治理与环境一致性\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;建设和完善数据质量、数据监控、数据血缘、元数据管理、权限管理、数据审计和问题追踪机制。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;推动核心数据集的口径统一、版本管理、时间模型管理和可追溯能力建设，提升数据可信度和可治理性。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;围绕研究、回测、模拟交易和实盘交易场景，设计统一的数据语义、时间模型、版本管理和访问规范。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;降低研究环境与生产环境之间的数据偏差，提升策略研发、验证和上线过程中的一致性、可解释性和可复现性。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;建立数据问题发现、定位、修复和复盘机制，提升数据链路的稳定性和生产环境可靠性。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong style=\u0026quot;color: rgb(61, 116, 204); font-size: 24px;\u0026quot;\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8 年以上软件工程、数据工程、基础设施或核心系统建设经验；或 5 年以上量化投资领域的数据平台建设经验。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具备数据平台、数据工程、基础设施或核心系统团队的管理经验，曾担任团队负责人、技术负责人、项目负责人或核心系统负责人。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;国内外知名院校计算机科学、自然科学、工程、金融数学或相关专业本科及以上学历。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具备扎实的软件工程能力和计算机基础，熟悉至少一门主流后端或系统编程语言，如 C++、Rust、Go、Java、Scala 等，并熟练使用 Python。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉 Linux、分布式系统、数据库、数据建模、批处理或流处理系统，具备复杂数据系统设计和生产环境问题排查能力。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉数据质量、数据治理、权限管理、数据血缘、元数据管理、统一数据服务等平台化能力建设。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具备良好的工程习惯、系统性思维、沟通能力和协作意识，能够在复杂业务环境中推动跨团队项目落地。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具备强烈的责任感，能够深入理解业务问题，并有持续解决新问题的热情、韧性和能力。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong style=\u0026quot;color: rgb(61, 116, 204); font-size: 24px;\u0026quot;\u0026gt;加分项\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;有跨市场、多资产、多策略量化投资数据平台的端到端建设经验。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;有高频数据处理经验，熟悉实时数据链路、低延迟数据服务、历史数据存储与管理，以及大规模时序数据查询优化。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉 Kafka、Flink、Spark、ClickHouse、KDB、PostgreSQL、对象存储、时序数据库或类似数据基础设施。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;有数据平台团队管理、平台重构或大型技术项目落地经验。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟练使用 AI 辅助编程工具，如 Claude Code、Cursor、Codex 等，并能将其融入团队工程实践。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018250004,"name":"Technology","child_ids":[],"parent_id":null}],"offices":[{"id":4032400004,"name":"Shanghai","location":"Shanghai, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5636445004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4974595004,"location":{"name":"Beijing, China; Jersey City, New Jersey, United States; Shanghai, China"},"metadata":null,"id":5636445004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"98","title":"Machine Learning Researcher","company_name":"AXQ Capital","first_published":"2025-09-02T19:10:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026amp;nbsp;is a global quantitative investment firm with offices in\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;New York, Beijing, Shanghai, and Hong Kong\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Job Duties\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;As a\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;Machine Learning Researcher\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;, you will develop ML/DL models to generate alpha from large-scale financial and alternative datasets. Working closely with portfolio managers and senior quantitative researchers, you will conduct research across a range of trading strategies within a fast, iterative research-feedback loop.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;818\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Below is a list of skills and experiences we believe are relevant. Even if you don’t consider yourself a perfect match, we still encourage you to apply because we are committed to helping our people grow and develop.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master’s or PhD from a top-tier university in a quantitative discipline (e.g., mathematics, physics, statistics, computer science, or related fields)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in machine learning, statistics, and optimization, with deep expertise in at least one area such as time series modeling, NLP, or LLMs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate effectively in a research-driven environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with the Python scientific and ML ecosystem (e.g., NumPy, Pandas/Polars, PyTorch, TensorFlow)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to build and improve models that perform under noisy, non-stationary, and high-dimensional data conditions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intellectually curious, highly analytical, and driven to discover alpha in complex systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-motivated and highly productive, with strong ownership and a bias toward action\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications at top-tier venues such as NeurIPS, ICML, KDD, or IJCAI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record in competitive ML platforms (e.g., Kaggle) or academic competitions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in quantitative research, systematic trading, or alpha signal generation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4030591004,"name":"Beijing","location":"Beijing, China","child_ids":[],"parent_id":null},{"id":4032400004,"name":"Shanghai","location":"Shanghai, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5695402004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5000912004,"location":{"name":"Jersey City, New Jersey, United States"},"metadata":null,"id":5695402004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"105","title":"Portfolio Manager","company_name":"AXQ Capital","first_published":"2025-11-03T16:46:28-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026amp;nbsp;is a global quantitative investment firm with offices in\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;New York, Beijing, Shanghai, and Hong Kong\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Job Duties\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;As a Portfolio Manager, you will develop and manage systematic strategies in equities and/or futures across US and global markets. Working closely with quantitative researchers and developers, you will design alpha-generating strategies, optimize portfolio construction, and implement risk management framework. This role provides end-to-end ownership of the investment process - from research and signal generation to execution and performance attribution. This role also offers a competitive formula payout structure and the opportunity to build and lead your own team as you scale.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;818\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;2+ years of track record running quant strategies in equities or futures as a sub-PM or senior QR\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;Bachelor\u0026#39;s, Master’s or PhD from a top-tier university in a quantitative or technical field\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;Strong hands-on programming skills and experience working with large financial datasets\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;Creative, analytical, and collaborative mindset with strong attention to detail\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4071729004,"name":"New York","location":"Jersey City, New Jersey, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/4907199004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4544892004,"location":{"name":"Beijing, China; Shanghai, China"},"metadata":null,"id":4907199004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"51","title":"Portfolio Manager","company_name":"AXQ Capital","first_published":"2025-06-22T10:11:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;安贤投资\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;多市场多策略\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;投资体系。策略布局覆盖全球股票统计套利、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;A\u0026lt;/span\u0026gt;股指数增强、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;CTA\u0026lt;/span\u0026gt;、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。自\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;2018\u0026lt;/span\u0026gt;年成立以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;北京、上海、香港、纽约\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: bold; color: rgb(61, 116, 204);\u0026quot;\u0026gt;有经市场验证、表现优异的海内外股票或期货量化策略，具备3年以上实盘经验\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;国内外知名高校本科及以上学历，有扎实的数理统计基础，熟悉量化交易各个环节\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;对量化充满热情，善于钻研，能够独立推动项目落地并对结果负责\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;抗压能力强，具备良好的沟通能力和团队协作精神\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具有团队管理经验优先\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4030591004,"name":"Beijing","location":"Beijing, China","child_ids":[],"parent_id":null},{"id":4032400004,"name":"Shanghai","location":"Shanghai, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5826465004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5063055004,"location":{"name":"Jersey City, New Jersey, United States"},"metadata":null,"id":5826465004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"117","title":"Portfolio Manager (Global Futures)","company_name":"AXQ Capital","first_published":"2026-03-13T19:48:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026amp;nbsp;is a global quantitative investment firm with offices in\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;New York, Beijing, Shanghai, and Hong Kong\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Job Duties\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;As a Portfolio Manager, you will develop and manage systematic futures strategies across global markets. Working closely with quantitative researchers and developers, you will design alpha-generating strategies, optimize portfolio construction, and implement risk management framework. This role provides end-to-end ownership of the investment process - from research and signal generation to execution and performance attribution. This role also offers a competitive formula payout structure and the opportunity to build and lead your own team as you scale.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;818\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;2+ years of track record running quant strategies in futures as a sub-PM or senior QR, with deep knowledge of global futures markets and a fundamental understanding of the entire investment pipeline \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;Bachelor\u0026#39;s, Master’s or PhD from a top-tier university in a quantitative or technical field\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;Strong hands-on programming skills and experience working with large financial datasets Creative, analytical, and collaborative mindset with strong attention to detail\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;839\u0026quot;\u0026gt;Creative, analytical, and collaborative mindset with strong attention to detail\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4071729004,"name":"New York","location":"Jersey City, New Jersey, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5789057004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5044816004,"location":{"name":"Beijing, China"},"metadata":null,"id":5789057004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"112","title":"Production Engineer","company_name":"AXQ Capital","first_published":"2026-02-02T05:15:21-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;安贤投资\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;多市场多策略\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;投资体系。策略布局覆盖全球股票统计套利、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;A\u0026lt;/span\u0026gt;股指数增强、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;CTA\u0026lt;/span\u0026gt;、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。自\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;2018\u0026lt;/span\u0026gt;年成立以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;北京、上海、香港、纽约\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位职责\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;作为\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt; Production Engineer\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;，您将与开发、研究、交易团队紧密合作，覆盖亚洲与欧洲市场时段，保障全球交易系统的稳定运行，并支持日常交易运营。您的工作包括：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;在亚洲市场时段轮值，覆盖亚洲股票/期货市场及欧美洲市场的盘前就绪、盘中实时监控、盘后清算与对账，监控组合风险与交易限额、算法执行、合约 rolls 与对冲等日常运营动作\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;响应生产事故，协调内部开发、研究、交易团队及外部对手方（经纪商、交易所等），参与事后复盘并持续改进系统可靠性与运行手册（runbook）\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;支持新策略与模型上线部署，准备和应对corporate actions、市场事件与监管变化等运营场景\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;设计并开发监控、告警、自动化与运营工具/dashboard，提升系统可观测性与运维效率\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;国内外知名院校计算机科学、自然科学、工程或金融数学等相关专业本科及以上学历\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;扎实的编程能力与计算机基础，熟练使用 Python（其他语言为加分项）\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉 Linux 系统使用，对网络、并发、操作系统有基础了解\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;对金融市场、资产类别与市场结构有兴趣并愿意深入学习\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;在生产压力下保持冷静、行动有条理，注重细节\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;出色的沟通能力与责任感，能在跨地域、跨团队协作中高效推进问题解决\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具有解决新问题的勇气、热情和能力\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;能够承担覆盖亚洲与欧洲市场时段的轮值工作\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;欢迎应届毕业生及处于职业早期的候选人申请，相关行业经验为加分项\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;加分项：\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;实习、开源项目或个人项目中有系统编程、自动化或运维相关经验\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉常见可观测性技术栈（Prometheus / Grafana / OpenTelemetry / ELK 等）\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉 CI/CD、容器化、Linux 系统管理等实践\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;有金融市场、量化交易、做市、经纪商等相关实习或学术经历\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟练使用 AI 辅助编程工具（如 Claude Code、Cursor、Codex 等）\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;43\u0026quot; data-end=\u0026quot;55\u0026quot;\u0026gt;如遇任何问题，请联系我们：\u0026lt;a class=\u0026quot;decorated-link cursor-pointer\u0026quot; data-start=\u0026quot;46\u0026quot; data-end=\u0026quot;67\u0026quot;\u0026gt;recruiting@axqcap.com\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4018250004,"name":"Technology","child_ids":[],"parent_id":null}],"offices":[{"id":4030591004,"name":"Beijing","location":"Beijing, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5575451004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4947890004,"location":{"name":"Jersey City, New Jersey, United States"},"metadata":null,"id":5575451004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"89","title":"Quantitative Developer","company_name":"AXQ Capital","first_published":"2025-06-30T13:08:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026amp;nbsp;is a global quantitative investment firm with offices in\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;New York, Beijing, Shanghai, and Hong Kong\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;722\u0026quot; data-end=\u0026quot;844\u0026quot;\u0026gt;As a Quantitative Developer, you will work closely with our research and engineering teams to contribute to solutions across strategy research, systematic trading, and risk management. Working under the guidance of senior team members, your work will include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;845\u0026quot; data-end=\u0026quot;920\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;847\u0026quot; data-end=\u0026quot;920\u0026quot;\u0026gt;Contributing to global multi-market connectivity and cross-region, multi-asset-class data, research, backtesting, and trading systems — taking ownership of well-scoped components and growing into broader areas of the stack\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;921\u0026quot; data-end=\u0026quot;1026\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Helping build and maintain event-driven backtesting and simulation frameworks, with attention to consistency in data semantics and time models across research, backtesting, and production environments\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1027\u0026quot; data-end=\u0026quot;1136\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Implementing and improving pieces of our order management, execution, and real-time risk systems, with a focus on writing correct, well-tested, and performant code\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;818\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;1234\u0026quot; data-end=\u0026quot;1368\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;0–3 years of software engineering experience, including internships; prior exposure to quantitative finance is a plus but not required\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree or higher in Computer Science, Natural Sciences, Engineering, Financial Mathematics, or a related quantitative field\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1369\u0026quot; data-end=\u0026quot;1431\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Solid programming skills and computer science fundamentals; proficient in Python, with working knowledge of (or strong interest in learning) a statically-typed language such as C++, Rust, or Go\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1432\u0026quot; data-end=\u0026quot;1503\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Familiarity with Linux, basic networking, and concurrency concepts; willingness to deepen these skills on the job\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity, drive, and the ability to learn quickly when tackling unfamiliar problems\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1563\u0026quot; data-end=\u0026quot;1643\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Sense of ownership over the work you take on, and willingness to ask questions early\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;Preferred Qualifications\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;1504\u0026quot; data-end=\u0026quot;1562\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Internship, research, or personal project experience related to trading systems, market data, or backtesting\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1563\u0026quot; data-end=\u0026quot;1643\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Coursework, competitions, or open-source contributions demonstrating strong engineering or quantitative skills (e.g., ICPC, Kaggle, well-maintained GitHub projects)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1644\u0026quot; data-end=\u0026quot;1727\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;Effective use of AI-assisted coding tools (e.g., Claude Code, Cursor, Codex)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018250004,"name":"Technology","child_ids":[],"parent_id":null}],"offices":[{"id":4071729004,"name":"New York","location":"Jersey City, New Jersey, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5636566004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4974606004,"location":{"name":"Beijing, China"},"metadata":null,"id":5636566004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"102","title":"Quantitative Developer","company_name":"AXQ Capital","first_published":"2025-09-01T17:51:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;安贤投资\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;多市场多策略\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;投资体系。策略布局覆盖全球股票统计套利、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;A\u0026lt;/span\u0026gt;股指数增强、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;CTA\u0026lt;/span\u0026gt;、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。自\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;2018\u0026lt;/span\u0026gt;年成立以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;北京、上海、香港、纽约\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位职责\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;作为\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;量化开发工程师（Quantitative Developer）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;，您将与研究、开发与交易团队紧密合作，参与策略研究、系统化交易和风险管理领域的解决方案建设。您的工作包括：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;参与全球多市场接入及跨地域、多资产类别的数据、投研、回测和交易系统的开发与维护\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;参与事件驱动的高频回测与模拟交易框架的开发，保障研究、回测与生产环境在数据语义与时间模型上的一致性\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;参与订单管理、执行算法与实时风控系统的开发与迭代，兼顾系统效率、正确性与稳定性\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;国内外知名院校计算机科学、自然科学、工程或金融数学等相关专业本科及以上学历\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;扎实的编程能力与计算机基础，熟练使用 Python（其他语言为加分项）\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉 Linux 系统使用，对网络、并发、数据结构与算法有扎实理解\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具有良好的工程习惯和出色的沟通能力\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具有解决新问题的勇气、热情和能力\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具有强烈的责任感\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;欢迎应届毕业生及处于职业早期的候选人申请，相关行业经验为加分项\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;加分项：\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;实习、开源项目或个人项目中有量化研究、金融数据处理或大规模数据/系统相关经验\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟悉至少一门静态编程语言（C++ / Rust / Go）\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;具有机器学习、数据分析或时序数据建模经验\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;有数学、物理、信息学或计算机等学科竞赛（如 ACM/ICPC、NOI、IMO、IPhO 等）获奖经历\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟练使用 AI 辅助编程工具（如 Claude Code、Cursor、Codex 等）\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018250004,"name":"Technology","child_ids":[],"parent_id":null}],"offices":[{"id":4030591004,"name":"Beijing","location":"Beijing, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5635911004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4974429004,"location":{"name":"Shanghai, China"},"metadata":null,"id":5635911004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"95","title":"Quantitative Researcher","company_name":"AXQ Capital","first_published":"2025-08-31T08:52:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;安贤投资\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;多市场多策略\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;投资体系。策略布局覆盖全球股票统计套利、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;A\u0026lt;/span\u0026gt;股指数增强、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;CTA\u0026lt;/span\u0026gt;、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。自\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;2018\u0026lt;/span\u0026gt;年成立以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;北京、上海、香港、纽约\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位职责\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;作为\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;量化研究员（Quantitative Researcher）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;，您将深入参与公司投资流程的多个核心环节，包括数据工程、策略开发、投资组合构建及风险管理。我们提供先进的研究与交易基础设施，并由经验丰富的量化投资经理和资深量化研究员提供指导，助您全面理解策略从构想到实盘交易的全过程。您的主要职责包括：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;运用概率统计、机器学习等方法，开发并优化量化交易策略\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;跟踪和分析策略表现，提出改进建议并主导策略迭代\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;搭建或优化策略研究框架，提升研发效率与策略迭代速度\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;国内外知名高校本科及以上学历，具有理工科或金融工程等强定量背景\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;扎实的数理统计基础，熟悉常见的统计建模、时序分析与机器学习方法\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;熟练掌握 Python，具备良好的数据处理与分析能力\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;对量化充满热情，善于钻研，具备创新意识和快速学习能力\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;加分项：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;有量化策略研发经验者优先\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;在顶级学术期刊或会议上发表过研究成果\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;获得过国际或国内数学、物理、计算机等奥林匹克竞赛奖项\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4032400004,"name":"Shanghai","location":"Shanghai, China","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5613867004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4964001004,"location":{"name":"Jersey City, New Jersey, United States"},"metadata":null,"id":5613867004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"92","title":"Quantitative Researcher","company_name":"AXQ Capital","first_published":"2025-08-06T18:00:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026amp;nbsp;is a global quantitative investment firm with offices in\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;New York, Beijing, Shanghai, and Hong Kong\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Job Duties\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Quantitative Researcher, you will gain exposure to all aspects of the investment process, including alpha generation, portfolio construction and trade execution. 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data-end=\u0026quot;1003\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;903\u0026quot; data-end=\u0026quot;1003\u0026quot;\u0026gt;Apply tools from probability, statistics, and machine learning to explore market patterns and edge\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1004\u0026quot; data-end=\u0026quot;1079\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1006\u0026quot; data-end=\u0026quot;1079\u0026quot;\u0026gt;Support cutting-edge research projects and alpha-generation initiatives\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1080\u0026quot; data-end=\u0026quot;1155\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1082\u0026quot; data-end=\u0026quot;1155\u0026quot;\u0026gt;Collect, clean, and analyze data; help maintain research infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1156\u0026quot; data-end=\u0026quot;1236\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1158\u0026quot; data-end=\u0026quot;1236\u0026quot;\u0026gt;Learn and apply our proven methodologies on a professional research platform\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;818\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1418\u0026quot; data-end=\u0026quot;1965\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1418\u0026quot; data-end=\u0026quot;1586\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1420\u0026quot; data-end=\u0026quot;1586\u0026quot;\u0026gt;Enrolled in a top-tier university (undergraduate or graduate) with a strong quantitative background (e.g., engineering, mathematics, physics, financial engineering)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1587\u0026quot; data-end=\u0026quot;1732\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1589\u0026quot; data-end=\u0026quot;1732\u0026quot;\u0026gt;Solid foundation in mathematical statistics; familiar with statistical modeling, time-series analysis, and common machine-learning techniques\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1733\u0026quot; data-end=\u0026quot;1801\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1735\u0026quot; data-end=\u0026quot;1801\u0026quot;\u0026gt;Proficient in Python and skilled at data processing and analysis\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1802\u0026quot; data-end=\u0026quot;1891\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1804\u0026quot; data-end=\u0026quot;1891\u0026quot;\u0026gt;Passionate about quantitative finance, curious, innovative, and able to learn quickly\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1892\u0026quot; data-end=\u0026quot;1965\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1894\u0026quot; data-end=\u0026quot;1965\u0026quot;\u0026gt;Able to work well under pressure; strong communicator and team player\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;1967\u0026quot; data-end=\u0026quot;1985\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1967\u0026quot; data-end=\u0026quot;1983\u0026quot;\u0026gt;We\u0026#39;d love if you have\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1986\u0026quot; data-end=\u0026quot;2212\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1986\u0026quot; data-end=\u0026quot;2049\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1988\u0026quot; data-end=\u0026quot;2049\u0026quot;\u0026gt;Prior experience developing quantitative trading strategies\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2050\u0026quot; data-end=\u0026quot;2121\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2052\u0026quot; data-end=\u0026quot;2121\u0026quot;\u0026gt;Publications in leading academic journals or conference proceedings\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2122\u0026quot; data-end=\u0026quot;2212\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2124\u0026quot; data-end=\u0026quot;2212\u0026quot;\u0026gt;Awards in national or international Olympiads (mathematics, physics, computer science)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;strong data-start=\u0026quot;1238\u0026quot; data-end=\u0026quot;1270\u0026quot;\u0026gt;This role is open year-round\u0026lt;/strong\u0026gt;: we welcome applications for summer internships, winter-break internships, or part-time roles during the academic year.\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Join us and jumpstart your career in quantitative investing!\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4071729004,"name":"New York","location":"Jersey City, New Jersey, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5064668004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4636147004,"location":{"name":"Jersey City, New Jersey, United States"},"metadata":null,"id":5064668004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"56","title":"Senior Quantitative Researcher","company_name":"AXQ Capital","first_published":"2024-03-12T08:44:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #3d74cc; font-size: x-large;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026amp;nbsp;is a global quantitative investment firm with offices in\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;New York, Beijing, Shanghai, and Hong Kong\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;74\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Job Duties\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;451\u0026quot;\u0026gt;As a Senior Quantitative Researcher, you will gain exposure to all aspects of the investment process, including alpha generation, portfolio construction and trade execution. 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data-renderer-mark=\u0026quot;true\u0026quot; data-text-custom-color=\u0026quot;#000000\u0026quot;\u0026gt;Self-motivated and highly-productive, with a strong sense of ownership and urgency\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1189\u0026quot;\u0026gt;Strong Python skills for conducting research\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4071729004,"name":"New York","location":"Jersey City, New Jersey, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/axq/jobs/5215193004","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4057591004,"location":{"name":"Beijing, China; Shanghai, China"},"metadata":null,"id":5215193004,"updated_at":"2026-05-28T23:17:40-04:00","requisition_id":"1","title":"Senior Quantitative Researcher","company_name":"AXQ Capital","first_published":"2024-06-25T05:09:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;关于我们\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;安贤投资\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;（\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;AXQ Capital\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;多市场多策略\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;投资体系。策略布局覆盖全球股票统计套利、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;A\u0026lt;/span\u0026gt;股指数增强、\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;CTA\u0026lt;/span\u0026gt;、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。自\u0026lt;span class=\u0026quot;s2\u0026quot;\u0026gt;2018\u0026lt;/span\u0026gt;年成立以来，安贤持续为海内外投资者创造长期稳健的投资回报，资产管理规模稳步增长。公司在\u0026lt;span class=\u0026quot;s1\u0026quot; style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;北京、上海、香港、纽约\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;设有办公室，为国内员工提供海外交流与培训机会。\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位职责\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;作为\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;资深量化研究员（Senior Quantitative Researcher）\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;，您将深入参与公司投资流程的多个核心环节，包括数据工程、策略开发、投资组合构建及风险管理。我们提供先进的研究与交易基础设施，并由经验丰富的量化投资经理提供指导，支持您推进策略从构想到实盘交易的全过程。您的主要职责包括：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;运用概率统计、机器学习等方法，开发并优化量化交易策略\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;跟踪和分析策略表现，提出改进建议并主导策略迭代\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;搭建或优化策略研究框架，提升研发效率与策略迭代速度\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 18pt; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;岗位要求\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;至少3年海内外股票或期货市场量化策略研发的工作经验，有实盘运行的策略\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;国内外知名高校本科及以上学历，有扎实的数理统计基础，熟悉alpha research和投资组合管理\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;对量化充满热情，善于钻研，能够独立推动项目落地并对结果负责\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;抗压能力强，具备良好的沟通能力和团队协作精神\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: bold; color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(61, 116, 204);\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;有志于通过PM Track的实践成长，独立管理投资组合和团队\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4018659004,"name":"Quantitative Research","child_ids":[],"parent_id":null}],"offices":[{"id":4030591004,"name":"Beijing","location":"Beijing, China","child_ids":[],"parent_id":null},{"id":4032400004,"name":"Shanghai","location":"Shanghai, China","child_ids":[],"parent_id":null}]}],"meta":{"total":15}}