Quantitative Engineer

Tardis Group

Hong Kong

On-site

HKD 400,000 - 700,000

Full time

2 days ago

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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

We are looking for a Quantitative Engineer to join a top quant trading firm supporting the development and operation of high-performance software applications.

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 and solutions to improve engineering efficiency and workflows.

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.

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