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As a Quantitative Developer/Research Engineer, you will design, develop, and deploy software solutions for automated trading systems in collaboration with Quantitative Researchers. Your responsibilities include testing, defining priorities, and delivering custom software that utilizes statistical techniques and sophisticated technologies.
The role involves supporting and diagnosing issues in a distributed environment, capacity planning, and application migrations. Applicants must be knowledgeable in UNIX/Linux and have experience in Python and SQL. Strong communication skills and the ability to work under pressure are essential.
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.
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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.
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.
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