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Quantitative Analyst - Macro & Commodities Investment Teams (Summer Internship)

eFinancialCareers
Greater London
1 week ago
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Quantitative Analyst - Macro &modities Investment Teams (Summer Internship)Balyasny Asset Management (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,bining 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.

With 2,000+ employees in 17 offices around the world, we embrace a culture that wees the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits. At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM's selective hiring process, we target the best and brightest in the business and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized toe to work is paramount to our success. Our team is motivated to perform each and every day.

OVERVIEW

The BAM Macro andmodities Quantitative Analyst Interns work on all facets of portfolio management directly with senior investors in either our Macro ormodities Investment Strategies. The ideal candidate will have a quantitative background, experience coding in python, and familiarity with Excel. A plus for candidates with experience in macro and/ ormodities products (fixed ie, currencies, equity index,modities). Strong interest in macro and / ormodities is a must. This is a unique opportunity to work and learn in a dynamic team setting and get exposure to the various asset classes and products of Fixed Ie investing.

RESPONSIBILITIES

The Quantitative Analyst 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 Generate and implement ideas for improvement of existing strategies and optimize current portfolio Help build market monitors and relative value reports to identify and track new trades Develop models on market-relevant topics, forecast prices Fed balance sheet runoff, election probabilities, etc. Develop supply / demand models


QUALIFICATIONS & REQUIREMENTS
Rising junior undergrad or 1st Year Master's Student in quantitative field with a Winter 2026 or Spring 2027 graduation date. Bachelor's inputer science, finance, mathematics, or other STEM related fields. Programming experience in Python in the context of data analysis, with the ability to test ideas and develop infrastructure for further research Understanding and exposure to options, derivatives, equity index futures,modity futures, fixed ie futures, interest rates swaps, supply and demand and foreign currencies 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 passion and interest in careers in investment management Strong written and verbalmunication skills Outstanding attention to detail and strong organization skills Job ID REQ7185

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