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AXQ Capital

Quantitative investment firm employing algorithmic research

HFT Production Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least two years of hands-on high-frequency trading production operations experience, including independently handling strategy deployment, production support, incident response, and investigation of trading-path latency anomalies.
  • A bachelor's degree or above in computer science, engineering, financial mathematics, or a related major.
  • Familiarity with Linux, networking, and operating-system fundamentals; understanding of basic market-data and trading connectivity; and ability to write scripts and maintain tools.
  • Ability to analyze problems, communicate and collaborate across teams, and respond effectively under production pressure.
  • Strong sense of responsibility, attention to detail, and risk awareness.

Responsibilities

  • Work closely with development, research, and trading teams to ensure stable operation of global trading systems.
  • Deploy, support, and continuously optimize high-frequency trading strategies and related systems in production, focusing on market-data and trading paths, low-latency operation, and production stability.
  • Perform pre-market checks, provide intraday operational support, and conduct post-market checks, monitoring strategy operation, positions, trading limits, and market-data and trading-path status.
  • Respond to production incidents, investigate trading-path latency anomalies, coordinate with internal teams and external partners such as brokers and exchanges, conduct root-cause analysis and post-incident reviews, and improve system reliability and runbooks.
  • Support strategy and system launches by validating versions and parameters, verifying deployments, performing rollbacks, and carrying out authorized emergency production procedures.
  • Develop and maintain monitoring, alerting, and operational tools; track trading-path latency and key operational metrics; and improve observability and operational efficiency.
  • Participate in integration testing and troubleshooting of market-data and trading interfaces, and work with development teams to resolve networking, performance, and system-operation issues.

Desired Qualifications

  • Familiarity with broker interfaces, exchange rules, market-data connectivity, and integration testing of trading interfaces.
  • Familiarity with monitoring and alerting, automated deployment, and operations tools, including relevant implementation experience.
  • Experience developing with Rust or Shell, or practical experience in network performance analysis, TCP/UDP, or multicast.
  • Familiarity with FPGA-accelerated trading-system architecture and experience debugging, integrating, or troubleshooting related components.
  • Familiarity with AI coding tools such as Claude Code and Codex and ability to use them to improve development and operations efficiency.

About the Company

AXQ Capital

Quantitative investment firm employing algorithmic research

AXQ Capital is a quantitative investment firm started in 2018 with offices in New York, Beijing, Shanghai, and Hong Kong. It uses systematic, data-driven models to generate investment ideas and execute trades across global markets, covering multiple asset classes and trading frequencies. The firm's product works by scientific research powering quantitative algorithms that produce alphas, which are implemented through automated trading systems. It differentiates itself through a strong emphasis on rigorous research and a global, cross-asset capability, supported by technology and reliable execution. The goal is to generate consistent alpha by combining advanced research with robust technology across diverse markets.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Jersey City, NJ
Founded
2021

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