Salary
≈ $35k – $94k per year (Estimated)
Location
In office (Beijing)
Overview
Company
Impact
Profile match
关于我们
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。自2018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。
岗位职责
作为量化开发工程师(Quantitative Developer) ,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:
- 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
- 参与大规模金融数据管道与数据平台的建设,覆盖多市场、多资产数据的接入、清洗、存储与质量监控
- 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
- 参与订单管理、执行算法、组合构建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
岗位要求
- 面向计划于2027年全职入职 的应届毕业生
- 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
- 具备扎实的编程能力与计算机基础,熟练掌握 Python,熟悉Linux、数据结构与算法
- 具备扎实的数学与概率统计基础
- 具备良好的工程习惯、学习能力和解决复杂问题的能力
- 具有责任意识和良好的沟通协作能力
加分项
- 在校期间学业成绩优异
- 具备量化研究、金融数据处理或大型系统相关的实习、科研或项目经验
- 熟悉至少一门静态编程语言(C++ / Rust / Go)
- 熟悉常见分布式系统/数据平台组件(Kafka、ClickHouse、Kubernetes 等)
- 有 AI/LLM 工程实践(Agent、RAG、推理部署与优化等)
- 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
- 熟练使用 AI 辅助编程工具(如 Claude Code、Cursor、Codex 等)
如遇任何问题,请联系我们:[email protected]
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