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Implement quantitative models and analytical tools in Python, working from briefs provided by senior team members
Collaborate with quant strategists across energy, options, metals, and macro to support live research projects
Communicate findings clearly, both in written outputs and in team discussions
Monitor and develop an understanding of commodity derivative markets, with a particular focus on financial participants and positioning dynamics
Requirements
Currently studying towards a final year undergraduate degree or a Master's degree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Economics, Finance)
Strong Python programming skills, with experience in data analysis and visualisation
Genuine interest in commodity or financial markets, and an eagerness to develop market knowledge alongside technical skills
Strong problem-solving skills, intellectual curiosity, and a proactive approach to tasks
Ability to work both independently and as part of a collaborative, cross-functional team
Nice to have
Familiarity with commodity derivative markets or options theory
Experience working with financial or time-series datasets
Prior research, trading, or data-intensive internship or project experience