Senior Quantitative Developer

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 Senior Quantitative Developer, you will work closely with our research team to deliver solutions across strategy research, systematic trading, and risk management. Your work will include:

• Designing and maintaining global multi-market connectivity, and building cross-region, multi-asset-class data, research, backtesting, and trading systems

• Designing and maintaining event-driven, high-frequency backtesting and simulation frameworks, ensuring consistency in data semantics and time models across research, backtesting, and production environments to accelerate strategy iteration and deployment

• Designing and iterating on order management, execution algorithms, and real-time risk systems, balancing system performance, correctness, and stability

Requirements

• 5+ years of software engineering experience, or 3+ years of development experience in quantitative investment or a related field

• Bachelor's degree or higher in Computer Science, Natural Sciences, Engineering, or Financial Mathematics from a top-tier institution

• Strong programming skills and computer science fundamentals; proficient in Python and at least one statically-typed language (C++ / Rust / Go)

• Proficient in Linux systems programming, networking, and concurrency

• Solid engineering habits and excellent communication skills

• Curiosity, drive, and the ability to tackle novel problems

• Strong sense of ownership and accountability

• End-to-end experience building production trading systems across markets, asset classes, or strategies

• Experience as a tech lead or in team management

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