Jobs at Qube Research & Technologies

Lead APAC employment and mobility tax matters, advising on international assignments, cross-border work, business travel, payroll withholding, social security, benefits, incentives, and tax compliance. Partner with HR, Payroll, Finance, Reward, local teams, and external advisors across jurisdictions. Oversee tax returns, shadow payroll, tax equalization, governance, controls, process improvements, and global People Tax projects.

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.

Design and build ultra-low-latency FPGA hardware systems for quantitative trading platforms. Develop custom logic for fast market-data processing and order execution using SystemVerilog, C++, and Python. Optimize designs for performance, resource usage, power efficiency, and reliability while collaborating with experienced engineers. The 3–6 month 2027 program is intended for penultimate or final-year Bachelor's, Master's, or PhD students and may lead to a graduate position.

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.