The Campus Recruiter at Citadel will identify and engage early career talent, manage the recruiting lifecycle, and represent Citadel at campus events.

As a Quantitative Researcher Intern, you'll develop models and strategies, conduct statistical analysis, and implement algorithms in a trading context.

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

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

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.

SREs at Citadel focus on optimizing and maintaining system reliability, performance, and automation for investment applications, collaborating closely with teams.

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.

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

The Recruiting Coordinator collaborates with recruiters to manage the hiring process, schedule interviews, and maintain candidate pipelines, requiring strong communication and organizational skills.

Quantitative Research Engineers develop high-performance platforms, create technological tools for trading strategies, and work collaboratively in small teams with innovative techniques.

This role entails using statistics and machine learning to analyze complex datasets, implementing algorithms, and back-testing models. A PhD is required for this position.

The intern will utilize machine learning and statistics to extract patterns from data, implement algorithms, back-test models, and communicate findings effectively.

As a Quantitative Research Analyst Intern, you will develop trading models, implement statistical techniques, and innovate using data analysis in finance.

Quantitative Researchers at GQS leverage advanced statistical techniques and machine learning for investment strategies, portfolio optimization, and innovative research.

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

Global Quantitative Researchers at Citadel leverage advanced statistical and quantitative techniques to drive investment strategies and optimize portfolios.

The Launch Intern will engage in an 11-week internship focused on learning about finance, collaborating with engineers, and developing technological tools to support trading strategies and data research.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.