Quantitative Developer - Python
Mid-level role bridging quantitative research and software engineering to build scalable data pipelines and trading strategy tooling for systematic investment strategies, requiring strong Python expertise and collaboration with researchers.
Skills required
About this role
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.
You will work closely with Quantitative Researchers and Portfolio Managers to develop and enhance the research platform supporting quantitative investment strategies. The role combines software engineering with direct interaction with research users, with a focus on improving research workflows, developing quantitative tooling and bringing trading strategies into production.
Your future role within QRT
- Automate and streamline data preparation and cleaning workflows
- Build and maintain quantitative research and trading frameworks
- Productionise trading strategies developed by Quantitative Researchers
- Develop tools and systems that address evolving research and investment requirements
- Establish and promote software engineering practices across research workflows
- Extend and improve the software platform as business and research requirements evolve
Your present skillset
- 2 or more years of professional software engineering experience
- Strong Python development experience
- High standards for code quality, testing and software development practices
- Ability to manage multiple priorities and work effectively in a collaborative environment
- Strong communication skills and the ability to work directly with Quantitative Researchers and Portfolio Managers
- Ability to operate effectively in a fast paced environment
- Experience in financial markets or machine learning is beneficial
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.
