Skip to Main Content Open Roles Quantitative Developer - Commodities Investment Team (Summer Internship) London Posted Today
OVERVIEW
The BAM Commodities Quantitative Developer Interns work on all facets of portfolio management directly with senior investors in Commodities Investment Strategies. The ideal candidate will have a quantitative background and experience coding in Python. A plus for candidates with experience in commodities products. Strong interest in commodities is a must.
This is a unique opportunity to work and learn in a dynamic team setting. Potential workstreams may include systems design, data-processing, optimization, machine learning, analytics, and research infrastructure.
RESPONSIBILITIES
The Quantitative Developer intern is expected to contribute meaningfully to portfolio management teams over the summer and learn quickly in a fast-paced environment. Example project work includes:
- Work on data analysis projects, prototyping and back-testing that have direct influence on trade idea generation
- Design and build scalable software components that support systematic investment workflows
- Develop and improve data-processing, analytics, optimization, and machine-learning tools
- Help build market monitors and relative value reports to identify and track new trades
- Develop models on market-relevant topics
- Develop supply / demand models
QUALIFICATIONS & REQUIREMENTS
- Rising junior undergrad or 1st Year Master’s Student in quantitative field with a Winter 2027 or Spring 2028 graduation date.
- Bachelor’s in computer science, finance, mathematics, data science or other STEM related fields.
- Strong proficiency in Python and/or JavaScript in the context of data analysis, with the ability to test ideas and develop infrastructure for further research
- Interest in quantitative finance, systematic investing, market-data systems, or research and trading infrastructure
- Familiarity with data engineering, distributed systems, cloud computing, optimization, or machine learning is a plus
- Knowledge of statistics, including time series analysis and regressions
- Strong organization skills with the ability to present results clearly and iterate with PMs accordingly
The ideal candidate for an intern position will be someone who has or is interested in:
- Strong desire to work collaboratively with the team
- High standard of professionalism in all dealings with internal staff and any external partners, clients and regulatory agencies
- Problem solving skills and ability to identify and implement appropriate solutions
- Ability to prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline
- Strong written and verbal communication skills
- Outstanding attention to detail and strong organization skills
Apply now