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Build and optimize low-latency, high-performance C++ trading systems for crypto markets; partner with researchers and traders to productionize strategies; optimize latency, throughput, reliability; implement pricing, risk, and execution logic; analyze large-scale market and trade data; ensure resilience, testing, and scalability across global venues.

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

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

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

Translate mathematical models into ultra-low latency implementations, optimize trading algorithms, and develop high-performance C++ systems for real-time trading.

Support development and backtesting of quantitative trading strategies: translate models to code, analyze data (including unconventional sources), and implement/monitor trading signals in live environments under senior mentorship.

The Senior Platform Infrastructure Engineer will design, develop, and maintain infrastructure software, collaborate with teams, and troubleshoot issues across trading systems.

As a Software Engineer in Test, you'll build Python frameworks and C++ hooks to verify system correctness, accelerate CI/CD, and manage performance testing across equities.

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

The UI Engineer will design and build complex user interfaces, develop front-end architecture, integrate with backend systems, and optimize performance for trading applications.