Quantitative Developer - Python
Qube Research & Technologies3 months ago
London, United KingdomSenior
Responsibilities
- Build, maintain, and enhance the quantitative trading framework for research and production.
- Productionise quantitative trading strategies developed by researchers.
- Develop tooling and infrastructure supporting the full lifecycle of systematic trading strategies.
- Collaborate with quantitative researchers and portfolio managers to improve research workflows, development practices, and engineering standards.
- Contribute to machine learning and data-driven research initiatives through software engineering and platform development.
- Evolve the software platform to meet changing research and business requirements.
- Support technically complex research projects and deliver robust production solutions.
Requirements
- At least 5 years of professional experience as a Quantitative Developer or Quantitative Technologist working directly with quantitative research teams in a systematic investment environment.
- Strong Python development skills and experience building software for quantitative research and systematic trading workflows.
- Strong understanding of quantitative trading strategies and the ability to review and improve research code while understanding the underlying investment logic.
- Experience developing machine learning pipelines and supporting production deployment.
- Experience applying AI tools or developing AI-enabled solutions.
- High standards for code quality, testing, and software engineering best practices.
- Ability to manage multiple priorities and work effectively in a collaborative environment.
- Strong communication skills and the ability to work closely with quantitative researchers, portfolio managers, and engineering teams.
Benefits
- Initiatives and programs intended to support a healthy work-life balance.
- Equal opportunity employer with an emphasis on diversity and respectful collaboration.
About Qube Research & Technologies
Qube Research & Technologies is a global quantitative and systematic investment manager that develops and trades data-driven strategies across liquid asset classes for institutional investors. The firm manages client capital and proprietary funds, earning management and performance fees. Founded in 2018 and headquartered in London, it operates with offices in 16 locations worldwide.