Jobs Companies AXQ Capital Quantitative Developer

Sobre esta vaga de Quantitative Developer na AXQ Capital

AXQ Capital · Presencial · New York

About Us

AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. 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.

 

Responsibilities 

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:

  • 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

  • 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

  • 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

 

Requirements

  • 0–3 years of software engineering experience, including internships; prior exposure to quantitative finance is a plus but not required

  • Bachelor's degree or higher in Computer Science, Natural Sciences, Engineering, Financial Mathematics, or a related quantitative field
  • 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

  • Familiarity with Linux, basic networking, and concurrency concepts; willingness to deepen these skills on the job

  • Curiosity, drive, and the ability to learn quickly when tackling unfamiliar problems
  • Sense of ownership over the work you take on, and willingness to ask questions early

 

Preferred Qualifications

  • Internship, research, or personal project experience related to trading systems, market data, or backtesting

  • Coursework, competitions, or open-source contributions demonstrating strong engineering or quantitative skills (e.g., ICPC, Kaggle, well-maintained GitHub projects)

  • Effective use of AI-assisted coding tools (e.g., Claude Code, Cursor, Codex)

 

The anticipated annual base salary range for this position is $150,000 to $200,000, depending on prior experience and qualifications. We offer a competitive total compensation package that includes base salary and an annual discretionary bonus.

 

Benefits

AXQ team members enjoy comprehensive benefits, including:

  • Medical, dental, and vision insurance
  • 401(k) with employer matching
  • Life and disability insurance
  • Health savings and flexible spending accounts
  • Generous paid time off
  • Regular office-provided meals and team events
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Sobre a AXQ Capital

 

Founded in 2018, AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. 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.

 

We bring together exceptional talent from diverse backgrounds. Our team members are graduates of leading institutions including Harvard, Princeton, Columbia, Peking University, and Tsinghua University. They bring deep expertise from premier global quantitative firms such as Citadel, Two Sigma, Jump Trading, Tower Research, and Schonfeld. We aim to foster a collaborative team where curiosity thrives and learning is constant. We welcome diverse experiences and viewpoints, believing they lead us to stronger ideas and better outcomes.

Join us in shaping the future of quantitative investing!  For inquiries: [email protected]

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