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Conduct quantitative research for automated trading strategies by developing mathematical models, translating algorithms into code, backtesting trading signals, analyzing unconventional data, and refining monetization systems. Collaborate with senior researchers during an 11-week post-doctoral internship while applying advanced probability, statistics, machine learning, and time-series techniques to financial markets.

The Market Data Engineer will design and implement high-performance market data systems, focusing on trading infrastructure, performance optimization, and system resiliency.

Recruiting Coordinators support full-cycle recruitment processes, manage candidate interactions, and work on HR projects, all while building stakeholder relationships.

Design, train, and deploy deep-learning models that predict market prices; build tooling and large-scale ML systems to enable firm-wide ML adoption; simulate trading decisions and integrate model predictions into production trading systems.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Analyze complex datasets, build predictive models, and communicate findings to stakeholders while collaborating with data engineers and quantitative researchers.

Build high-performance trading tools and large-data research platforms in small teams. Design system architectures, develop resilient production software, and apply distributed computing, NLP, and machine learning to solve complex quantitative problems while collaborating with engineers, traders, and researchers.

Software Engineers at Citadel develop, maintain, and support high-performance trading platforms, focusing on custom software solutions and system stability.

Join as an FPGA engineering intern to design, implement, and test FPGA solutions for ultra-low latency trading systems. Improve system efficiency and performance via RTL coding, synthesis, simulation, and hardware validation while collaborating in small teams with engineers and business stakeholders.

11-week software engineering internship building high-performance research platforms and trading tools. Work in small teams to design systems, develop platforms and web frameworks, and apply distributed computing, NLP and machine learning. Collaborate with senior engineers, network with peers, and contribute code that rapidly moves into production.