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Quantitative Research Analyst – Intern (US)

🚀 Off-cycle Internship

Chicago +2

🤑 $3.4K - $5K

AI generated summary

  • Bachelor's or Master's degree in a highly quantitative field, strong knowledge of probability and statistics, experience in data-driven research, proficiency in NoSQL databases and distributed computing, ability to code in Python, R or C++, independent research experience, strong analytical and communication skills.
  • The candidate for this position will be responsible for developing and improving mathematical models, coding algorithms, back testing trading models, utilizing unconventional data sources, and conducting research and statistical analysis to refine trading signals and monetization systems.

Off-cycle Internship

DataChicago, Miami, New York


  • Our mission is to be the most successful investment team in the world. Quantitative Researcher Analysts play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
  • As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship.


  • Bachelors or Masters degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
  • Prior experience working in a data driven research environment
  • Experience with NoSQL databases (e.g., MongoDB)
  • Experience with distributed computing using MapReduce
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)
  • Independent research experience
  • Ability to manage multiple tasks and thrive in a fast-paced team environment
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communication skills

Education requirements

Currently Studying

Area of Responsibilities



  • Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
  • Back test and implement trading models and signals in a live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals


Work type

Full time

Work mode



Chicago, Miami, New York


3365 - 5000 USD