Jobs at Citadel

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

The role involves physical gas trading, analysis, and scheduling, requiring keen knowledge of U.S. gas markets and collaboration with internal stakeholders.

Quantitative Researchers at Citadel use advanced statistical techniques to develop models and trading strategies, backtesting them in live environments.

As a PhD Intern, you will develop mathematical models, conduct statistical analysis, and implement trading strategies while collaborating with senior researchers.

Conduct quantitative investment research by building predictive models, applying statistical and mathematical techniques, optimizing multi-asset portfolios, and developing optimization algorithms. Analyze financial markets, price formation, and risk using large-scale data and coding in C++ or Python. Collaborate with researchers, engineers, and traders to develop scalable systems and identify investment opportunities.

Support investment teams by acquiring, cleaning, and analyzing diverse datasets to test investment theses. Learn fundamental investor approaches, identify key data drivers and inflection points, and present research findings. Work with existing and new data to generate insights and decision-support tools for sector-focused investment research.

Summer intern role building high-performance, large-data research platforms and web frameworks. Collaborate in small teams to create tools for trading strategies, applying distributed computing, NLP, and machine learning.

As a Quantitative Research Analyst Intern, you will develop and improve trading models, conduct statistical analysis, and collaborate with team members in a data-driven environment.

Participate in an 11-week Operations internship supporting clearing, settlements, corporate actions, collateral management, and shared services. Analyze business needs using data, develop and implement strategic process improvements, manage team projects end-to-end, collaborate across global teams, and contribute to a cross-functional capstone initiative focused on advancing Operations.

Intern will learn financial markets, collaborate with traders, researchers, and technologists, apply statistical techniques to develop trading ideas, adapt strategies, and use proprietary trading platforms while networking with senior team members.

Investment Associates analyze companies and industries for investment opportunities, conducting valuations and financial modeling, and participating in investor communications.

As a Quantitative Developer, you'll innovate and enhance quantitative methods, develop custom tools, maintain data pipelines, and collaborate with researchers for advancing investment strategies.

The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

Leads strategy, roadmap, design, launch, and scaling of data-driven health and human performance programs. Evaluates care models and digital health technologies, develops business cases and product requirements, manages vendors and cross-functional stakeholders, tracks outcomes, and drives program iteration. Partners with the Chief Medical Officer and Benefits team on health services, analytics, healthcare navigation, and employee health initiatives.

Lead trading strategy development and execution for a commodities portfolio, manage risk, conduct analysis, and identify opportunities.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

Optimize and manage portfolio-level trading strategies by translating quantitative research into production. Tune allocators and risk, minimize trading costs and market impact, monitor performance in real time, and conduct statistical research to improve risk-adjusted returns.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Summer internship for undergraduate students graduating December 2028 through May 2029. Interns will develop financial modeling and company research skills, evaluate businesses and investment opportunities, analyze external data, and support long/short equities investing through investment-team rotations and mentorship.