Quantitative Researcher, PhD Graduate (US)
Citadel
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- StatisticsValuationData structures & algorithmsMachine learningNLPPython
- Work
- On-site in New York City Metropolitan Area
- Pay
- Not stated by the employer.
- Skill demand
- Statistics60%Machine learning37%Data structures & algorithms11%Valuation6%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
Quantitative Researchers at Citadel develop next-generation models and trading approaches for a range of investment strategies, applying sophisticated statistical techniques to financial markets and complex data sets.
Key Responsibilities
- Conceptualize, develop, and continuously improve mathematical models and valuation strategies.
- Translate algorithms into code.
- Backtest and implement trading models and signals in a live trading environment.
- Utilize unconventional data sources to drive innovation.
- Conduct research and statistical analysis to build and refine monetization systems for trading signals.
Requirements & Tech Stack
- PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field.
- Strong knowledge of probability and statistics, including areas such as machine learning, time-series analysis, pattern recognition, and NLP.
- Prior experience working in a data-driven research environment.
- Experience translating mathematical models and algorithms into code using languages like 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 New York, Miami, Greenwich, and Houston.