High-Performance Quantitative Software Engineer

Tardis Group; Hong Kong; On-site; HKD 400,000 - 700,000; Full time

Job summary

Tardis Group in Hong Kong is seeking a Quantitative Engineer to join its high-performance trading software team. You will develop and maintain production systems, work with quantitative researchers, and ensure reliability in live trading environments.

The role emphasizes performance, testing, and CI/CD practices, with exposure to Linux, Git, and scripting. 2–5 years of relevant experience in quantitative development or software engineering is expected.

Qualifications

• Bachelor's degree or above in Computer Science, Engineering, or a related field.
• 2-5 years professional experience in quantitative developer, software development or a related engineering role.
• Strong programming skills in C++ or Python.
• Good understanding of Linux and software development practices.
• Familiarity with Git, code review, CI/CD, and software testing.
• Experience working with performance-sensitive or production systems is a plus.
• Experience in financial services or other technology-driven industries is a plus.

Responsibilities

• Develop and maintain production software and applications.
• Work closely with Quantitative Researchers to understand requirements and deliver reliable technical solutions.
• Monitor system performance and troubleshoot issues in production environments.
• Improve the performance, stability, and reliability of existing trading systems.
• Contribute to system design, development, testing, and continuous improvement.
• Develop internal tools to improve engineering efficiency and workflows.

Skills

Programming in C++

Programming in Python

Linux proficiency

Git knowledge

CI/CD knowledge

Software testing

Education

Bachelor's degree in CS/Engineering

Tools

Git

CI/CD

Code review

Production systems

Job description

Tardis Group in Hong Kong is seeking a Quantitative Engineer to join its high-performance trading software team. You will develop and maintain production systems, work with quantitative researchers, and ensure reliability in live trading environments.

The role emphasizes performance, testing, and CI/CD practices, with exposure to Linux, Git, and scripting. 2–5 years of relevant experience in quantitative development or software engineering is expected.