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AQR

2027 Quantitative Prediction Markets Research Summer Analyst

Greenwich, Connecticut, United States

Location
Greenwich, Connecticut, United States
Work
Not stated
Employment
Not stated
Level
Internship
Function
Data & AI
Pay
Not stated
Posted
2 months ago

About the role

AQR Capital Management

AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998.

At AQR, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We’re determined to know what makes financial markets tick – and we’ll ask every question and challenge every assumption. We recognize and respect the power of collaboration and believe transparency and openness to new ideas leads to innovation.

The Internship Program

Our 10-week summer program puts real work of the firm in your hands. You will work alongside brilliant people, gain insights and know-how from our Quanta Academy Summer Term curriculum, and experience what it’s like to work at the pinnacle of global, systematic investing.

Learning is the cornerstone of our culture and plays an active role in the internship experience — through daily collaboration and interaction with employees at all levels, in workshops and classes, and most significantly by working on projects that matter to the many clients we serve. Our unique AQR Quanta Academy: Summer Term learning series, a structured program, consists of over 40 hours of educational, skill-building and networking events.

Your Role

AQR is looking for someone with an understanding of and interest in prediction markets and sports analytics to join our Quantitative Research team. Our Summer Analysts / Associates experience life as a Quantitative Researcher at AQR, which may include studying financial markets, learning academic theory, analyzing market data, building new (or improving on existing) trading strategies, and/or enhancing portfolio construction.

Summer Analysts / Associates gain hands-on experience in quantitative research as well as the opportunity to learn about quantitative asset management and the investment philosophy which drives AQR. Specifically, this role is looking for someone to work in collaboration with researchers and portfolio managers and to leverage their own quantitative background to seek out reliable prediction markets trading strategies across all types of event contracts, including financial, economic, sports, politics, culture, and crypto. Research will focus on acquiring and cleaning data, building models, analyzing backtested trading strategies from those models, and transforming that research into trading strategies.

What You’ll Bring

  • December 2027 or Spring 2028 degree candidate (Ph.D., Masters, or Bachelors) from a top program in finance, economics, or a quantitative discipline (Operations Research, Applied Math, Computer Science, Statistics, etc.) with a desire to work in the financial services industry
  • Heavy knowledge and experience in AI
  • Programming skills; Python preferred
  • Familiarity with predictions markets, option and contingent claim pricing, and data science.
  • Passion for sports, politics, finance analytics
  • Diversity of knowledge and interests a plus
  • Strong problem solving and quantitative skills
  • Ability to work both individually and in a team setting
  • High degree of intellectual curiosity
  • Ability to communicate effectively in both verbal and written form
  • Well-organized, detail-oriented and able to focus in a dynamic and collaborative environment
  • Results oriented

Source

Posted by AQR on their own hiring page, careers.aqr.com. OptiTalent shows it as published, read 07 Nov 2026 02:53 UTC; the original is the reference.

View the original ad ↗

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