Quantitative Researcher - PhD Graduate (Europe)
7 Nov 2025
CH ZURICH KLAUSSTRASSE 4
Verified by Turrior
Content + Source + Freshness • 13 Feb 2026 • 95% confidence
90 / 100
Offer value
Exceptional opportunities for those with advanced quantitative skills, coupled with a vibrant work culture and significant responsibilities.
- PhD required, targeting high-caliber candidates
- Engagement with cutting-edge quantitative finance models
- Opportunities to innovate in trading strategies
- Competitive work demands with high rewards
Pros
- Strong emphasis on developing advanced quantitative models
- Highly regarded employer in the investment sector
- Collaboration with senior professionals and access to expansive datasets
Cons
- Intense work environment with high expectations and competition
- Quantitative roles may involve extended hours
- High barrier to entry with strict educational requirements
Who it's for
Graduate / Entry-level • In-office with potential flexibility
Good fit
- PhD holders in quantitative disciplines
- Analysts passionate about financial markets
- Professionals aiming for a dynamic and challenging work environment
Not recommended for
- Those without a quantitative background
- Candidates preferring routine, low-intensity roles
- Individuals looking for stable work hours
Motivation fit
Keen interest in financial markets and quantitative analysisDesire to work in a fast-paced team-oriented environmentAmbition to drive innovation in investment strategies
Key skills
Complex statistical analysisProgramming in Python/R/C++Model development and backtestingEffective communication of complex concepts
Score: 90/100 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.
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, Zurich and Dublin.
