Quantitative Researcher – PhD Intern (Europe)

🇬🇧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. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques.

As an 11-week intern, you will:

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

Our signature internship program takes place June through August, with occasional flexibility for other times of the year.

["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
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

11 week internship program
Opportunity to collaborate and connect with senior team members
Opportunity to network and socialize with peers throughout the internship
Signature internship program takes place June through August, with occasional flexibility to other times of the year