Quantitative Analyst
1 week ago
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.
With 2,000+ employees in 17 offices around the world, we embrace a culture that welcomes 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 to come to work is paramount to our success. Our team is motivated to perform each and every day.
The Macro Investment Team is looking for Summer interns to work on all facets of portfolio management directly with senior investors. The ideal candidate will have a quantitative background, experience coding in python, and familiarity with Excel. A plus for candidates with experience in macro products (fixed income, currencies, equity index, commodities). Strong interest in macro 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 Macro investing.
RESPONSIBILITIES
The macro 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, e.g. Fed balance sheet runoff, election probabilities, etc.
- Rising junior undergrad or 1st Year Master's Student in quantitative field with a December 2026 or Spring 2027 graduation date. Bachelor's in computer 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, equity index futures, commodity futures, fixed income futures, interest rates swaps 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
- 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
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