Low Latency Engineer

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.

• Research infrastructure building: data pipelines, time-series storage/retrieval, backtesting and simulation framework, research analytics and visualization tooling in Python.
• C++/Rust strategy optimization: implement, profile, and optimize strategy and execution logic; port validated Python research into production code.

• Bachelor's degree in CS, Math, Statistics, Physics, or a related quantitative field, with 0–3 years of professional experience
• Exceptional problem-solving ability; competitive programming background (ICPC, IOI/NOI) weighted heavily
• Strong in Python or C++/Rust, eager to become strong in the other; solid fundamentals in data structures and algorithms
• Quick, proactive, and rigorous — learns fast, fixes what's broken unprompted, stays calm and detail-oriented in a live trading environment, and communicates clearly.