Low Latency Engineer
AXQ Capital1 month ago
Shanghai, China +2 moreEntry Level / Mid Level
Responsibilities
- Build research infrastructure including data pipelines, time-series storage and retrieval, backtesting and simulation frameworks, and Python-based research analytics and visualization tooling.
- Implement, profile, and optimize trading strategy and execution logic in C++ or Rust.
- Port validated Python research into production code for high-frequency trading systems.
Requirements
- Bachelor's degree in computer science, mathematics, statistics, physics, or a related quantitative field.
- 0–3 years of professional experience.
- Strong proficiency in Python or C++/Rust, with willingness to develop strength in the other language.
- Solid fundamentals in data structures and algorithms.
- Exceptional problem-solving ability and strong communication, attention to detail, and rigor.
- Competitive programming experience such as ICPC or IOI/NOI is heavily weighted.
About AXQ Capital
Founded in 2018, AXQ Capital has quickly grown into a world-class quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. We focus on generating consistent alphas, driven by robust, scientific research and our investments in cutting-edge technology. Our systems operate reliably across global markets, spanning multiple asset classes and trading frequencies. We're hiring researchers, developers and portfolio managers. For career opportunities, please visit: https://job-boards.greenhouse.io/axq 我们长期在中国招聘量化研究员、开发工程师和投资经理，欢迎访问上述页面查看职位机会。