Quantitative Developer - Commodities (Python)

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 our 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. You will work within a quantitative development function supporting research and trading activities across Commodities, including Agriculture, Metals and Energy.

focuses on developing Python applications, quantitative tools and data infrastructure that support trading decisions, research and risk management. You will collaborate closely with Quantitative Researchers, Traders, Data Engineers and infrastructure specialists to deliver solutions across alternative data, pricing, backtesting and statistical modelling. Your future role within QRT Design, develop and deploy quantitative tools supporting trading and research, including pricing, backtesting, risk analysis and PnL reporting Build Python applications and data pipelines to explore, integrate and analyse alternative datasets, including weather and cargo data Collaborate with Quantitative Researchers and Traders to translate trading ideas and business requirements into production applications and quantitative models