Search the 8 jobs at Citadel

Join Citadel's Global Quantitative Strategies team for an exclusive, three-day experience in New York City, specifically curated to bring together top PhD students, postdocs, and leading quantitative researchers from our business.

Quantitative Research Engineers collaborate with Quantitative Researchers to analyze data, develop research tools, and enhance and maintain automated trading systems and algorithms. They leverage sophisticated quantitative techniques and technologies to answer challenging questions in finance.

Global Quantitative Strategies (GQS) is the quantitative investment business of Citadel. They are one of the top quantitative investment teams in the world and specialize in using advanced statistical and quantitative modeling techniques to identify and act on investment opportunities. They are currently seeking Quantitative Researchers with a focus on conducting innovative research and utilizing mathematical and statistical modeling skills. Proficiency in C++ or Python is preferred.

Develop solutions for internal investment professionals to research, monitor, and trade in real-time. Visualize financial data to improve research processes and decision-making. Challenge the status quo and enhance the platform.

Software Engineers at Citadel are responsible for building systems that power every aspect of their investment process. They work closely with investors and quantitative researchers to drive critical commercial outcomes.

Quantitative Research Analysts at Citadel develop next-generation models and trading approaches for investment strategies. Responsibilities include conceptualizing valuation strategies, developing and improving mathematical models, back testing trading models, using unconventional data sources, conducting statistical analysis, and building monetization systems for trading signals.

As a Software Engineer at Citadel, you will work in small teams to develop high-performing technology platforms and tools for trading strategies and financial research. You will utilize Java and Python to create systems architectures, develop web frameworks, and apply innovative techniques like machine learning and distributed computing. This role offers a competitive base salary range of $200,000 to $250,000 per year.

Conceptualize valuation strategies, develop mathematical models, implement trading models, use unconventional data sources for innovation, conduct statistical analysis, and refine monetization systems for trading signals.