Job Responsibilities:
1ã€Deeply understand research needs and work closely with the research team to support the
development of new strategies, drive their deployment in live trading, and continuously monitor
and optimize them.
2ã€Develop and maintain foundational tools and analytical frameworks for strategy research
and backtesting, enhancing the efficiency and reproducibility of strategy iterations.
3ã€Design and implement low-latency, high-frequency trading algorithm frameworks to improve
system performance, stability, and scalability, ensuring robust operation in live trading
environments.
4ã€Participate in key technology decisions and system architecture design; take the lead in
analyzing and solving complex technical issues, continuously driving system evolution and
technological innovation.
5ã€Coordinate and promote cross-functional collaboration to ensure smooth cooperation
among strategy, engineering, and operations teams, improving deployment efficiency and
incident response speed.
Job Requirements:
1ã€Bachelors degree or above in Computer Science or a related field, with over 5 years of
relevant work experience.
2ã€Proficient in modern C++ standards; familiar with multithreading and network programming;
experienced in high-performance system development and optimization. Strong engineering
practices with a focus on system stability, maintainability, and deployment efficiency.
3ã€Capable of independently handling system architecture and tackling critical technical
challenges. Strong communication skills and experience in cross-team collaboration.
4ã€Familiar with core trading processes such as exchange connectivity, order lifecycle, and
market data handling. Experience in low-latency trading systems or order execution is a strong
plus.
Location: Beijing / Shanghai / Hong Kong / Singapore
Experience Required: 5+ years in top-tier quant or HFT firms
Core Tech: Modern C++, multithreading, low-latency systems
Function: Trade execution, live strategy deployment, position management
Team: Engineering (but tightly aligned with quant research)
Key Responsibilities:
- Build and optimize low-latency execution systems
- Collaborate with researchers to implement and manage live trading strategies
- Develop internal tools for backtesting, strategy analysis, and monitoring
- Own order scheduling, pricing logic, and execution efficiency
- Lead design decisions and cross-team integration with research, ops, and infrastructure
Ideal Background:
- Quant Dev or Execution Engineer from HFT or elite quant fund
- Experience with live order management and exchange connectivity
- Strong ownership of real-time trading systems
- Not considering candidates from brokers, exchanges, or traditional AMs