Quantitative Analyst, Commodities (Seasonal Internship)

About Balyasny Asset Management (BAM)

Balyasny Asset Management L.P. (BAM), founded in 2001, is a global institutional investment firm. BAM strives to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration. BAM operates at the intersection of finance and technology, combining the industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. The firm leverages the collective expertise of its teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to its investment partners.

Overview

Balyasny Asset Management is looking for a Quantitative Analyst Intern to join a London-based Commodities Portfolio Management team focused on European power and support projects. The role centers on data gathering, data analysis, and data-driven idea generation. This is an excellent opportunity to conduct cutting-edge research at a leading hedge fund, offering hands-on experience at the intersection of commodities trading and data science. The role will involve working with large datasets, and an interest in AI is required.

Responsibilities

• Work alongside a Portfolio Manager focused on European power.
• Collaborate directly with the Portfolio Manager and team to brainstorm creative uses of data in the investment process.
• Conduct independent, project-oriented quantitative research using a variety of datasets.
• Perform forecast and model-error analysis and present findings to improve forecast and model accuracy.
• Identify, ingest, and analyze new datasets to assess potential improvements or enhancements to existing models and infrastructure.
• Actively use AI to help solve complex problems.

Qualifications & Requirements

• Currently pursuing a master’s degree in Computer Science, Mathematics, Engineering, Data Science, or a STEM-related field. Pure Science majors with strong coding skills are also welcome to apply.
• Location: In person in the London Office.
• Availability to work 20 hours per week starting in the Autumn for 6 months.
• Strong analytical and data processing skills (Python/SQL), and knowledge of version control (Git).
• Knowledge of common statistical modeling methods and algorithms.
• Attention to detail—takes ownership of projects, with a strong focus on quality, correctness, and intuitive output.
• Self-starter with a results-driven attitude, a strong desire to learn, and the ability to multitask.
• Strong written and verbal communication skills, outstanding attention to detail, and strong organization skills.