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 our 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 join a quantitative development function that works closely with Researchers, Traders and Cloud Engineering teams to build applications, data pipelines and analytics that support research and trading workflows. The role combines software engineering, quantitative development and data engineering, with responsibility for developing production applications, supporting research infrastructure and integrating large scale datasets.
Your future role within QRT
- Design, develop, deploy and maintain cloud native Python applications supporting research and trading workflows, including market data dashboards, risk analytics, profit and loss reporting, weather analytics and performance analysis
- Develop quantitative tools including backtesting frameworks, optimisation tools, pricing libraries and ETL pipelines for integrating and validating alternative datasets
- Build and maintain scalable data pipelines that support model development and production workflows
- Monitor, support, debug and enhance existing research and trading infrastructure
- Work closely with Researchers, Traders and Engineering teams to deliver production quality solutions that meet evolving business requirements
Your present skillset
- At least three years of professional Python development experience
- Strong knowledge of Python, including numerical libraries such as NumPy, Pandas, Polars and Xarray
- Strong quantitative mindset with an interest in working closely with trading and research functions
- Experience developing user interfaces or an interest in building data visualisation applications such as Plotly, Dash or Streamlit is beneficial
- Experience with AWS or another cloud platform together with infrastructure as code technologies (e.g. Lambda, S3, DynamoDB, RDS or AWS CDK is advantageous)
- Good knowledge of relational databases such as PostgreSQL together with object storage technologies
- Experience developing ETL pipelines and working with large scale datasets
- Strong understanding of software engineering practices including version control, automated testing, packaging and deployment
- Ability to work independently while collaborating closely with business and technology stakeholders to deliver production solutions
- Experience with parallel or distributed computing is advantageous
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.
Skills Required
- At least three years of professional Python development experience
- Strong knowledge of Python numerical libraries such as NumPy, Pandas, Polars and Xarray
- Strong quantitative mindset and interest in working with trading and research functions
- Experience developing user interfaces or building data visualization applications (Plotly, Dash, Streamlit)
- Experience with AWS or another cloud platform and infrastructure-as-code technologies (e.g., Lambda, S3, DynamoDB, RDS, AWS CDK)
- Good knowledge of relational databases such as PostgreSQL and object storage technologies
- Experience developing ETL pipelines and working with large-scale datasets
- Strong understanding of software engineering practices including version control, automated testing, packaging and deployment
- Ability to work independently while collaborating with business and technology stakeholders to deliver production solutions
- Experience with parallel or distributed computing
Qube Research & Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.
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Wellbeing & Lifestyle Benefits — Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
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Leave & Time Off Breadth — Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
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Healthcare Strength — Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.
Qube Research & Technologies Insights
What We Do
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 currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments
