Quantitative Researcher - PhD Intern (Europe)
7 Nov 2025
CH ZURICH KLAUSSTRASSE 4
Verified by Turrior
Content + Source + Freshness • 13 Feb 2026 • 95% confidence
85 / 100
Offer value
An ideal stepping stone for PhD interns in quantitative research, with mentorship opportunities and exposure to investment practices.
- Structured internship with significant guidance
- Networking with investment professionals
- Opportunities to work with obsolete data sources and algorithms
- Intense competition for a limited number of spots
Pros
- Structured internship program with mentorship
- Hands-on experience in high-stakes projects
- Chance to collaborate with experienced researchers
Cons
- Limited to a short duration (11 weeks)
- High competition for internship spots
- Not suited for those seeking long-term positions
Who it's for
Intern / Early-career • In-office during the internship
Good fit
- PhD candidates who want practical exposure
- Individuals attracted to quantitative finance
- Aspiring analysts seeking strong mentorship
Not recommended for
- Those not pursuing advanced degrees
- Candidates looking for permanent roles
- Individuals disinterested in rigorous statistical analysis
Motivation fit
Desire to learn and apply complex quantitative skillsInterest in receiving guidance and feedback from expertsAiming to establish a career in finance or data analysis
Key skills
Statistical modelingProgramming in Python/RCommunication in research contextsSelf-management in a collaborative setting
Score: 85/100 AI verified analysis
About the job
At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers 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.
Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.
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
Your Skills & Talents
- 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
Opportunities available in London, Paris and Zurich.
