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The Senior Python Software Engineer at Citadel Securities will design, develop, test, and deploy innovative software solutions. They will partner with business leaders to define priorities, analyze complex problems, and support trading activities, leveraging their deep expertise in Python and software development within a dynamic trading environment.
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 Software Engineer at Citadel, you will collaborate in small teams to develop high-performance technology for trading strategies and large data research platforms, utilizing cutting-edge techniques like distributed computing and machine learning.
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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.
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.
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.
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.
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 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.
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