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2027 Quantitative Prediction Markets Research Summer Analyst

AQR•Greenwich, CT
Match Resume

About The Position

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.

Requirements

  • 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.)
  • 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
  • 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

Nice To Haves

  • Diversity of knowledge and interests a plus

Responsibilities

  • Studying financial markets
  • Learning academic theory
  • Analyzing market data
  • Building new (or improving on existing) trading strategies
  • Enhancing portfolio construction
  • Leveraging quantitative background to seek out reliable prediction markets trading strategies across all types of event contracts, including financial, economic, sports, politics, culture, and crypto
  • Acquiring and cleaning data
  • Building models
  • Analyzing backtested trading strategies from those models
  • Transforming that research into trading strategies

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What This Job Offers

Career Level

Intern

Education Level

Ph.D. or professional degree

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