Quantitative Researcher (Off-cycle Internship)

Balyasny Asset Management L.P. (BAM) 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+ people in offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and wellbeing of our people through world-class benefits

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Our team aims to continuously improve our quantitative investment strategies by identifying new sources of alpha, enhancing our existing alphas, improving the monetization of our alphas, and developing libraries and tools to facilitate research and analysis. We are looking for someone who is enthusiastic about conducting quantitative research and is willing to put forth the time and energy to understand new market dynamics and large alternative dataset

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RESPONSIBILIT

• IESConduct independent research on various quantitative alpha ideas and new datasets, and help develop trading strateg
• iesConduct quantitative research and analysis on systematic investment process. Develop insights and provide actionable recommendations for risk modelling, portfolio construction, and trade execut
• ionImprove efficiency of existing systems and tools used by the t

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QUALIFICATIONS & REQUIREM

• ENTSBachelor's degree or above in Computer Science, Mathematics, and/or Statistics. (Full time for 2027 summer & part-time off cycle for 2026 Sep – Dec, 40 hours a w
• eek)Strong analytical and data processing skills. Experience working with large datasets is strongly prefe
• rredStrong programming skills in Python and
• SQLStrong applied mathematics and statistics skills; ability to derive formulas rigorously and apply mathematical reasoning to solve real-world problems from first princi
• plesProficient in leveraging AI agent tools to accelerate and optimize large-scale coding and research tasks; experience coordinating multiple AI agents as a collaborative team is a
• plusFirst-principles thinker — approaches problems across mathematics, coding, and markets by reasoning from the ground up rather than relying on conven
• tionSelf-starter, results-driven attitude with a great desire to l
• earnStrong communication skills, outstanding attention to de