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Quantitative Researcher – PhD Intern (US)

Citadel Securities
🇺🇸Miami🇺🇸New YorkMediorIntern$4k–$6kPosted March 24, 2026

About the Role

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. 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. Our signature internship program takes place June through August.

Your Objectives:

  • 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
["PhD 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 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"]

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

Requirements

  • PhD 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 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

What You'll Get

  • $4k–$6k base salary
  • 11 week internship program with collaboration and connection to senior team members
  • Opportunity to network and socialize with peers throughout the internship
  • Flexibility to internship timing other than June through August in some cases