Quantitative Researcher, Multi-Asset Arbitrage (Summer Internship)

Balyasny Asset Management

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Work type
On-site
Location
BostonGreenwich
Employment
Intern
Posted
73 days ago
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Confirmed live today

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Similar $162k
$95k $229k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $108,212–$215,700.

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About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 53 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 37 roles with salary data.

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At a glance

TL;DR · Quantitative Researcher, Multi-Asset Arbitrage (Summer Internship)

The Quantitative Researcher - Multi-Asset Arbitrage (Summer Internship) joins the Multi-Asset Arbitrage team to participate in a hands-on ten-week research program. Interns are responsible for building, supporting, and integrating globally accessible quant trading infrastructure while interacting with Portfolio Managers and Quant Researchers to develop requisite toolkits. The role involves solving complex real-world problems to enhance investment and trading frameworks and strategies. Candidates must demonstrate programming proficiency in Python and possess strong knowledge of probability, statistics, and machine learning or natural language processing. The position requires experience working with large, complex datasets to build predictive models. Familiarity with language models like BERT, GPT, and XLNet is a plus. This role focuses on developing quantitative practices including big data analysis and AI to power quantitative strategies.

What you'll do

  • Build, support, and integrate globally accessible quantitative trading infrastructure.
  • Develop and enhance investment and trading frameworks and strategies.
  • Analyze large, complex datasets to build predictive models.
  • Create requisite toolkits for Portfolio Managers and Quant Researchers.
  • Apply AI, LLM, and big data analysis to quantitative practices.
  • Solve complex, real-world problems to improve the firm's investment process.
  • Perform independent research in a data-driven environment.

What we're looking for

  • Must be a Bachelor's student graduating between Winter 2027 and Spring/Summer 2028.
  • Must be pursuing a degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Must have programming proficiency in Python.
  • Must have strong knowledge of probability and statistics, including ML and NLP.
  • Must have experience working with large, complex datasets and building predictive models.
  • Must have prior independent research experience in a data-driven environment.
  • Must have outstanding analytics skills, attention to detail, and the ability to communicate complex technical subjects.
  • Familiarity with language models such as BERT, GPT, and XLNet, and NLP related publications (preferred).

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