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Design and optimize high-performance computing solutions to support quantitative research and trading. Responsibilities include improving proprietary libraries, measuring efficiency improvements, and customizing solutions for better collaboration with partner teams.

As a trader at Citadel Securities, you will utilize advanced technology and statistical techniques to make real-time trading decisions in various financial markets, while constantly learning and innovating trading strategies.

As a Software Engineer Intern at Citadel Securities, you will work on creating technological tools for trading strategies, developing high-performance research platforms, and contributing to the future of finance. You'll have the opportunity to collaborate with senior team members and network with peers during the 11-week program.

The Site Reliability Engineer will support and optimize large-scale applications, manage infrastructure capacity planning, and lead application migrations. Responsibilities include troubleshooting within a distributed environment and collaborating effectively with teams. Candidates are expected to have strong knowledge of UNIX/Linux and networking as well as proficiency in scripting languages like Python.

The Quantitative Researcher/Analyst conducts research and statistical analyses to evaluate securities and develop automated trading strategies. They work with large datasets to predict market patterns, improve mathematical models, and backtest trading algorithms for live environments.

As a Quantitative Developer/Research Engineer, you will design, develop, test, and deploy software solutions for automated trading systems while collaborating with the Quantitative Research team to meet project objectives.

Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.