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The Senior Network Engineer will design, implement, and maintain low-latency network solutions for trading systems, optimize network performance, troubleshoot issues, and ensure network security. The role also involves collaborating with teams to meet business needs and staying updated on industry trends.
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.
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The C++ Software Engineer will build, maintain, and support a trading platform, design and develop software solutions, and analyze complex problems while working collaboratively with business leaders.
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.
The Quantitative Researcher role involves conducting research and statistical analyses to evaluate securities, using large data sets to detect market patterns, developing mathematical models, and implementing trading strategies in a live environment.
Conduct statistical analyses and research to evaluate securities using large data sets. Develop, test, and implement trading strategies by improving mathematical models and translating algorithms into code for practical application.
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 Quantitative Researcher, you will develop and enhance mathematical models for trading strategies, back test and implement these models, utilize unconventional data sources for innovation, and conduct statistical analysis for monetization systems.
As a Quantitative Researcher intern at Citadel Securities, you will develop and test automated trading strategies, conduct statistical analysis, and work on modeling valuation strategies using advanced statistical techniques. The role emphasizes collaboration and networking within a fast-paced team environment.
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