Python Engineer

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, 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 work on systems and tooling at the intersection of trading infrastructure and market microstructure. The role focuses on building data pipelines, analytics and libraries that support execution analysis and improve trading performance. You will operate close to the trading stack, working with high resolution datasets and contributing to both research and production systems.

Your future role within QRT

• Analyse trading behaviour across venues to identify execution inefficiencies and improve latency and fill performance
• Develop Python libraries, data pipelines and tooling to process exchange protocols, order flow and large scale trading data
• Build analytical frameworks, metrics and monitoring tools to evaluate execution quality and system performance
• Contribute to production systems supporting live trading, including data validation, pipeline reliability and real time monitoring
• Collaborate with stakeholders to translate analytical insights into measurable improvements in execution performance
• Work with research and infrastructure teams to support ongoing development of execution analysis and market behaviour understanding

Your present skillset

• Degree in Computer Science, Engineering, Mathematics or a related quantitative field
• 7+ years of professional experience in Python development, building libraries, data platforms or analytical tooling
• Strong experience working with large scale and time series datasets using tools such as NumPy and Pandas
• Solid SQL knowledge and experience working with analytical databases
• Strong problem solving skills with the ability to investigate complex data and system behaviours
• Ability to translate analytical or trading related problems into robust engineering solutions
• Experience working in Linux environments and applying software engineering best practices such as testing, version control and continuous integration
• Strong communication skills with the ability to collaborate across technical and non technical stakeholders
• Familiarity with financial markets, electronic trading or execution analysis