11-week PhD internship conducting quantitative research: develop and test statistical trading models, translate algorithms into code, backtest and implement signals, and use unconventional data for trading strategy innovation.

11-week PhD internship developing, back-testing and implementing quantitative trading strategies. Build and improve mathematical models, translate algorithms into code, analyze unconventional data sources, and deploy signals in live trading while collaborating with senior researchers.

Interns will design, implement, and test FPGA solutions for optimized trading system performance. Collaborate with teams to enhance financial technology.

As a Software Engineer Intern, you'll create tools for trading strategies, develop research platforms, and collaborate in small teams.

As a Quantitative Research Analyst Intern, you'll develop and test trading strategies, perform statistical analysis, and collaborate with teams to drive innovations in quant models.

Quantitative traders at Citadel Securities use advanced analytics and technology to make risk decisions, trade across markets, and innovate strategies.

Work as a quantitative trader using advanced analytics and technology to monitor markets, manage risk, and execute trading strategies. Requires system thinking and quantitative problem-solving.

As a Quantitative Trading Intern, you will analyze financial markets, apply statistical techniques to trading, and innovate using advanced trading platforms.

The role involves building and supporting a trading platform, designing and deploying software solutions, and solving complex problems in a trading environment.

FPGA Engineer at Citadel Securities to design and deploy FPGA solutions for trading systems, enhancing efficiency and performance.

Develop and implement automated trading system software solutions in partnership with Quantitative Researchers, focusing on software design, development, and deployment.

As a C++ Software Engineer, you will solve complex challenges, build high performance trading systems, optimize processes, and support production code.

Responsible for real-time support, problem diagnosis, capacity planning, and application migrations in a distributed environment.