Job Description

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.

Join our Treasury Analytics team in London as a Data Engineer, supporting and evolving the data infrastructure that powers Treasury's analytics platform.

Role responsibilities

• Design, build and maintain data pipelines to ingest, transform, and serve Treasury data across multiple sources and analytics systems
• Be at the forefront of systems that enable critical business decisions
• Onboard new storage and modelling layers, leveraging the right format and framework for different workloads
• Collaborate with desk leadership, traders, and engineers to implement robust, maintainable solutions

Required experience and skills

• 3–6 years' experience building high-performance intraday data applications, ideally in financial services
• Strong SQL, Python, and data modelling skills
• Understanding of data storage trade-offs
• Experience with query optimisation and performance tuning
• Experience with modern orchestration frameworks (e.g. Airflow), cloud platforms, backend web services and networking protocols
• Knowledge of streaming systems and real-time data applications a plus
• Strong technical communication skills and ability to work effectively with a variety of stakeholders

Location

London