Quantitative Developer - Commodities Investment Team (Summer Internship)

About the role

This London-based summer internship supports commodities portfolio management alongside senior investors. Interns apply quantitative skills and Python or JavaScript to data analysis, back-testing, software development, optimization, machine learning, market monitoring, and research infrastructure, with projects directly influencing trade idea generation and systematic investment workflows.

Responsibilities

• Conduct data analysis, prototype strategies, and back-test ideas influencing trade idea generation.
• Design scalable software components supporting systematic investment workflows.
• Develop data-processing, analytics, optimization, and machine-learning tools.
• Build market monitors and relative-value reports to identify and track potential trades.
• Develop models addressing market-relevant topics and commodities supply and demand.
• Collaborate with portfolio management teams and present results clearly to support iteration with portfolio managers.

Qualifications

• Be a rising junior undergraduate or first-year master's student in a quantitative field.
• Have a Winter 2027 or Spring 2028 graduation date.
• Study computer science, finance, mathematics, data science, or another STEM-related subject.
• Demonstrate strong Python and/or JavaScript proficiency for data analysis and research infrastructure development.
• Show strong interest in commodities, quantitative finance, systematic investing, market-data systems, or research and trading infrastructure.
• Know statistics, including time-series analysis and regressions.

Preferred Skills and Working Style

• Familiarity with data engineering, distributed systems, cloud computing, optimization, or machine learning is advantageous.
• Experience with commodities products is advantageous.
• Collaborate effectively with team members and demonstrate strong problem-solving abilities.
• Prioritize multiple projects, meet deadlines, and maintain strong organization and attention to detail.
• Demonstrate professionalism with internal staff, external partners, clients, and regulatory agencies.
• Communicate clearly in written and verbal interactions.