Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, delivering across all liquid asset classes. The Front Office Quantitative Development team builds production systems to support research, trading, portfolio construction, and risk analysis. You will design, deploy, and support cloud-based Python applications, quantitative tooling, and scalable data platforms to enable investment decisions across complex markets. Responsibilities: Design, develop, deploy, and support cloud-based Python applications for research and trading; Build quantitative tooling including backtesting frameworks, optimization engines, pricing libraries, risk analytics, and research platforms; Develop scalable data pipelines for market, fundamental, and alternative datasets (including weather and supply/demand data); Create interactive applications and dashboards to support market analysis, risk management, P&L, and portfolio performance; Apply AI-assisted development tools to improve engineering productivity, testing, documentation, and debugging; Contribute to AI-enabled applications and workflows that support research and trading; Improve the scalability, reproducibility, and operational reliability of research workflows; Take ownership of projects from requirements gathering and design through deployment, monitoring, and ongoing support; Collaborate with Researchers, Traders, Data Engineers, Cloud Engineers, and Production Support teams to deliver business-critical solutions. Required qualifications and experience: 5–10 years in quantitative development or s

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, delivering across all liquid asset classes. The Front Office Quantitative Development team builds production systems to support research, trading, portfolio construction, and risk analysis. You will design, deploy, and support cloud-based Python applications, quantitative tooling, and scalable data platforms to enable investment decisions across complex markets. Responsibilities: Design, develop, deploy, and support cloud-based Python applications for research and trading; Build quantitative tooling including backtesting frameworks, optimization engines, pricing libraries, risk analytics, and research platforms; Develop scalable data pipelines for market, fundamental, and alternative datasets (including weather and supply/demand data); Create interactive applications and dashboards to support market analysis, risk management, P&L, and portfolio performance; Apply AI-assisted development tools to improve engineering productivity, testing, documentation, and debugging; Contribute to AI-enabled applications and workflows that support research and trading; Improve the scalability, reproducibility, and operational reliability of research workflows; Take ownership of projects from requirements gathering and design through deployment, monitoring, and ongoing support; Collaborate with Researchers, Traders, Data Engineers, Cloud Engineers, and Production Support teams to deliver business-critical solutions. Required qualifications and experience: 5–10 years in quantitative development or s