Quantitative Research Analyst - University Graduate (Europe)
9 Nov 2025
CH ZURICH KLAUSSTRASSE 4
Verified by Turrior
Content + Source + Freshness • 13 Feb 2026 • 95% confidence
85 / 100
Offer value
High value due to Citadel's strong reputation, potential for significant financial rewards, and opportunities for personal and professional growth in quantitative finance.
- Engaging role in a highly reputed market-making organization
- Opportunities for significant learning and development
- Requires a strong quantitative skill set
- Fast-paced environment with challenging tasks
Pros
- Opportunities in multiple major financial hubs (London, Zurich, Paris, Dublin)
- Engagement with leading-edge quantitative research and innovative trading strategies
- Exposure to sophisticated data sets, enhancing analytical skills
Cons
- High-pressure work environment with rigorous deadlines
- Requires advanced technical skills, potentially limiting applicant pool
- Fast-paced team settings may not suit everyone
Who it's for
Entry-level / Recent Graduate • On-site
Good fit
- New graduates in quantitative fields
- Individuals passionate about financial markets
- Candidates with strong analytical skills
Not recommended for
- Candidates without a quantitative background
- Individuals preferring a casual work atmosphere
- Those looking for remote or less structured positions
Motivation fit
Desire to push the boundaries of quantitative researchInterest in applying mathematical concepts to real-world financial scenariosMotivation to engage with a collaborative, fast-paced team
Key skills
Mathematical modelingStatistical programming (Python, R, or C++)Data analysisStrong communication for team collaboration
Score: 85/100 AI verified analysis
About the job
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.
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
- 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
Opportunities available in London, Zurich, Paris and Dublin.
