Quantitative Developer

Summary

AXQ Capital is a global quantitative investment firm focused on achieving consistent alpha through scientific research and investment in technology. The role of Quantitative Developer involves collaborating with research and engineering teams to develop solutions for strategy research, systematic trading, and risk management.

Responsibilities

• 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

Skills

• 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
• 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)

Qualifications

Must Haves

• 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

Nice to Haves

• 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)