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Traders utilize predictive analytics and advanced technologies to identify market opportunities, requiring collaboration with quantitative researchers and technologists.

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

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 intern will learn financial modeling, perform analytical research, and gain exposure to the investment process in equities. They will utilize technology and data analysis to support investment strategies.

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

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

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.

Develop mathematical models and trading strategies, back test trading models, conduct research and statistical analysis for monetization systems.

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