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As a Quantitative Research Analyst Intern, you will develop and improve mathematical models, back test trading strategies, conduct research, and apply statistical techniques to financial markets. You'll collaborate with senior team members during an 11-week program.

As a Quantitative Research Analyst, you'll develop and backtest automated trading strategies using advanced statistical methods. Your role involves conceptualizing valuation strategies, implementing trading models, and driving innovation through unconventional data analysis. Strong analytical and technical skills are essential for success in this data-driven research environment.

Software Engineers at Citadel Securities develop and maintain a powerful trading platform while enhancing its performance and stability. They engage in designing, testing, and deploying software solutions, analyzing complex problems, and providing support for trading activities.

FPGA Engineers at Citadel Securities are responsible for creating and deploying next-generation FPGA solutions to enhance trading systems' performance. They collaborate with business leaders to maximize efficiency and accelerate algorithmic trading processes.

The Quantitative Developer/Research Engineer at Citadel Securities is responsible for designing, developing, testing, and deploying software solutions for automated trading systems, collaborating with Quantitative Researchers to customize solutions. They leverage sophisticated statistical techniques and advanced technologies to enhance trading efficiencies.

Site Reliability Engineer responsible for first line support, troubleshooting in distributed environments, infrastructure capacity planning and deployment, and application migrations. Candidates with less than 3 years must be familiar with UNIX/Linux, networking protocols, and SQL. Those with 3+ years should have experience in large-scale applications and infrastructure upgrades.

The Quantitative Researcher role involves conducting research and statistical analyses to evaluate securities, using large data sets to detect market patterns, developing mathematical models, and implementing trading strategies in a live environment.