Search the 79 jobs at Citadel Securities

As a Machine Learning Researcher at Citadel Securities, you will apply advanced machine learning and AI techniques to analyze datasets, back-test models, and document your findings. Your work will contribute to developing innovative trading strategies in a fast-paced environment.

As a Trading Fundamental Analyst, you will develop expertise in a sector or industry, identify pricing inefficiencies, collaborate with traders, and transform unstructured data into actionable signals. Your goal is to refine forecasts into trade ideas using both fundamental and quantitative analysis.

As a Machine Learning Researcher Intern at Citadel Securities, you'll use advanced statistics and AI algorithms to analyze datasets, implement high-quality code, back-test models, and document research findings, all while collaborating and learning from senior team members throughout an 11-week program.

As a Quantitative Researcher Intern at Citadel Securities, you will develop and test automated trading strategies using statistical techniques, conceptualize valuation strategies, back test trading models, and conduct research to enhance monetization systems for trading signals.

As a Launch Intern at Citadel Securities, you will participate in an eleven-week paid internship focusing on engineering in the finance industry. You will create technological tools, collaborate on high-performance research platforms, and learn about how technology applies to finance while networking with experienced professionals.

The intern will conceptualize valuation strategies, develop mathematical models, back test trading models, conduct statistical analysis, and utilize unconventional data sources to inform trading strategies at Citadel Securities.

As a Quantitative Research Analyst, you will develop and improve mathematical models, backtest trading models in a live environment, and conduct statistical analysis to build monetization systems. Your goal is to use sophisticated techniques and unconventional data to innovate trading strategies.

As a Quantitative Research Analyst Intern, you will develop and test automated trading strategies, conduct research and statistical analysis, and translate algorithms into code. You'll collaborate with senior team members and use unconventional data sources to enhance trading systems.

As a Trading Fundamental Analyst Intern, you will gain insights into fundamental analysis, collaborate with traders, and refine your own trade ideas based on market data. You will also monitor marketplace trends and develop knowledge in a specific sector.

As a Quantitative Trading Intern, you will develop knowledge in financial markets, apply statistical techniques to trading, continuously learn and adapt strategies, and innovate using a powerful trading platform. You will collaborate with senior team members and engage with peers while taking part in an 11-week program.

As a Quantitative Researcher, you will conceptualize valuation strategies, develop mathematical models, and implement trading models using statistical techniques. You will conduct research and statistical analysis, improving trading systems while using innovative data sources.

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 Research Engineer at Citadel Securities, you will design and build high-performance Alpha and AI infrastructure, enabling efficient use of advanced AI algorithms for researchers, analysts, and traders. Responsibilities include developing new functionalities, optimizing systems, and adapting open-source AI solutions.

As a High Performance Computing Engineer, you will enhance quantitative research by developing and optimizing libraries and machine-learning pipelines. Your role will involve improving cloud-powered computational architecture efficiency, identifying performance bottlenecks, and customizing solutions for team collaboration. A strong background in C or Python and familiarity with high-performance computing systems is essential.

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 Quantitative Developer/Research Engineer, you will design, develop, test, and deploy automated trading system software solutions while collaborating with Quantitative Researchers to prioritize and deliver custom software solutions.

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.

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.

The Senior Research Engineer will curate and manage large-scale structured and unstructured data, collaborating with researchers to produce valuable datasets and automate data pipelines. Responsibilities include data extraction, cleaning, query design, and developing analytical infrastructure, all aimed at enhancing business outcomes through data-driven insights.

The C Software Engineer will develop and maintain a powerful trading platform, focusing on performance, functionality, and stability while collaborating with business leaders to deliver custom solutions and analyze complex problems.