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Quantitative Research Analyst Intern – BS/MS (Europe)

Citadel Securities
🇬🇧London🇫🇷ParisMediorInternPosted 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. As an intern, you'll participate in an 11-week program developing and testing automated quant trading strategies using sophisticated statistical techniques.

  • 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
["Bachelor's or master's 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

  • Bachelor's or master's 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
  • 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