QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Senior Software Engineer - Quant Research Framework
Qube Research & Technologies
·Jul 1, 2026
- Location
- Hong Kong, Singapore · Hong Kong, Hong Kong · Singapore
- Type
- Full-time
- Department
- Trading-TT
- Seniority
- Senior
- Source
- Greenhouse
Description
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for an experienced software engineer to help build, maintain, and support a framework used by quantitative researchers for research, testing, and production workflows in a fast-paced environment.
Your future role within QRT
- Develop and maintain core framework components, tools, APIs, and documentation
- Work closely with quant researchers day to day, helping them use the framework effectively and solving technical issues
- Translate researcher feedback into framework improvements
- Support production environment setup, dependency management, release processes, and deployments
- Work with infrastructure and production teams to troubleshoot deployment and runtime issues
- Follow up on production usage through monitoring, debugging, performance analysis, and optimization
Your present skillset
- Strong software engineering experience, ideally in Python and C++
- Experience building frameworks, libraries, tooling, or production systems
- Good knowledge of Linux, debugging, testing, CI/CD, and deployment practices
- Ability to analyze performance issues and production behaviour
- Strong communication skills and comfort working directly with quantitative researchers in a fast-paced environment
Nice-to-Have
- Experience in quantitative finance, trading, research platforms, or data-driven systems
- Familiarity with backtesting, simulation, distributed computing, or production monitoring tools
Skills
PythonCI/CDLinux