Teams at Qube Research & Technologies

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Develop scalable cloud-native platforms for real-time tick data. Collaborate with researchers, architect systems, and build distributed data architectures.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.