Quantitative Developer - Python
Qube Research & Technologies3 months ago
Aarhus, DenmarkMid Level
Responsibilities
- Design, develop, deploy, and maintain cloud-native Python applications for research and trading workflows.
- Build quantitative tools including backtesting frameworks, optimization tools, pricing libraries, and ETL pipelines.
- Develop and maintain scalable data pipelines for model development and production workflows.
- Monitor, support, debug, and enhance research and trading infrastructure.
- Collaborate with researchers, traders, cloud engineers, and other engineering teams to deliver production solutions.
- Provide continuous support for traders and production trading systems across global markets.
Requirements
- At least three years of professional Python development experience.
- Strong knowledge of Python and numerical libraries including NumPy, Pandas, Polars, and Xarray.
- Strong quantitative mindset and interest in working with trading and research functions.
- Experience with AWS or another cloud platform and infrastructure as code technologies is advantageous.
- Good knowledge of relational databases such as PostgreSQL and object storage technologies.
- Experience developing ETL pipelines and working with large-scale datasets.
- Understanding of software engineering practices including version control, automated testing, packaging, and deployment.
- Experience with Plotly, Dash, or Streamlit for user interfaces and data visualization is beneficial.
- Experience with parallel or distributed computing is advantageous.
- Ability to work independently while collaborating with business and technology stakeholders.
Benefits
- QRT offers initiatives and programs supporting employees’ work-life balance.
- QRT is an equal opportunity employer and promotes an open, respectful, and diverse workplace.
Tech Stack
Categories
BackendData Engineering
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.