Low-Latency Systems Engineer for HFT Platform

AXQ Capital; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

AXQ Capital, a global quantitative investment firm, is seeking a low-latency engineer to join our high-frequency trading research and platform team in Singapore. You will contribute to data pipelines, time-series storage/retrieval, backtesting and research analytics in Python, and optimize strategy and execution logic in C++/Rust.

The role rewards fast learning, rigorous problem solving, and clear communication in a live trading environment, with a strong competitive programming background

Qualifications

• Bachelor's degree in CS, Math, Statistics, Physics, or related quantitative field.
• 0–3 years of professional experience.
• Competitive programming background (ICPC/IOI/NOI) weighted heavily.
• Strong in Python or C++/Rust; solid data structures and algorithms.
• Quick, proactive, and rigorous—learns fast and stays calm in live trading environments.

Responsibilities

• 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.

Skills

Python

C++

Rust

Algorithms

Competitive programming

Education

Bachelor's degree in CS, Math, Statistics, Physics, or related quantitative field

Job description

AXQ Capital, a global quantitative investment firm, is seeking a low-latency engineer to join our high-frequency trading research and platform team in Singapore. You will contribute to data pipelines, time-series storage/retrieval, backtesting and research analytics in Python, and optimize strategy and execution logic in C++/Rust.

The role rewards fast learning, rigorous problem solving, and clear communication in a live trading environment, with a strong competitive programming background