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

Responsibilities include, but are not limited to:
• 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.
• Conduct forecast and model-error analysis and provide 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 any 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 modelling methods and algorithms
• Attention to detail - takes ownership of projects, strong focus on quality, correctness, and intuitiveness of output
• Self-starter, results-driven attitude with a great desire to learn and ability to multitask
• Strong written and verbal communication skills, outstanding attention to detail and strong organization skills