Low-Latency Quant Trading Software Engineer

Metabit; Hong Kong; On-site; HKD 800,000 - 1,400,000; Full time

Job summary

Metabit is seeking engineers to develop, optimize, and maintain stock and futures trading systems in a high-performance environment. You will optimize networks and hardware for ultra-low latency, and build quantitative research infrastructure for massive financial data, including backtesting and distributed computing frameworks.

The role also involves shaping large-scale data platforms that support live trading and research, with significant emphasis on reliability, scalability, and performance.

Qualifications

• Bachelor's degree in Computer Science or related field from a world-renowned university.
• Proficient in Linux and C++14/17 with scripting language, or Python3 with a strongly typed language.
• Familiar with Git, code review, and CI/CD practices.
• Strong interest in quantitative trading and machine learning.

Responsibilities

• Develop, optimize, and maintain stock and futures trading systems.
• Optimize the network and hardware environment for low-latency systems.
• Develop quantitative research infrastructure for massive financial data (backtesting and distributed computing).
• Build large-scale data platforms supporting live trading and research.

Skills

Linux

C++14/17

Scripting languages

Python

Strongly typed languages

Git

CI/CD

Quantitative trading interest

Machine learning interest

Education

Bachelor's degree in Computer Science or related field (World-Renowned University)

Tools

Git

CI/CD tooling

Job description

Metabit is seeking engineers to develop, optimize, and maintain stock and futures trading systems in a high-performance environment. You will optimize networks and hardware for ultra-low latency, and build quantitative research infrastructure for massive financial data, including backtesting and distributed computing frameworks.

The role also involves shaping large-scale data platforms that support live trading and research, with significant emphasis on reliability, scalability, and performance.