Jobs at Qube Research & Technologies

Manage large datasets across research and trading platforms by designing data stores and APIs, monitoring data-process health and performance, delivering production-ready datasets, and supporting researchers and traders. The role involves Python-based data engineering in a low-latency environment, collaboration with technical and investment professionals, and developing expertise in high-performance real-time trading systems.

Three- to six-month 2027 internship for penultimate- or final-year Bachelor's, Master's, or PhD students. Quantitative developers build tools, platforms, and infrastructure supporting quantitative research and live trading. Software engineers develop high-performance trading, execution, risk, analytics, and market connectivity systems. Candidates contribute to technically challenging projects, optimize performance, and collaborate with researchers, traders, and engineers in a rigorous environment.

Develop and implement high-frequency and low latency algo trading strategies for APAC markets, collaborating with traders and researchers.

Develop, maintain, and support a research framework used by quantitative researchers. Build core components, tools, and APIs; troubleshoot deployments and runtime issues; manage releases, dependency management, CI/CD, and production monitoring; analyze performance and optimize production behavior. Work closely with researchers to translate feedback into framework improvements and provide day-to-day technical support.