Jobs at Citadel Securities

Build the core visualization platform, reusable frameworks, design systems, and developer tooling for client-facing financial analytics. Translate complex market and trading data into clear, high-performance applications while partnering with product, design, sales, and engineering teams. Evaluate emerging technologies, provide hands-on technical leadership, conduct design reviews, and mentor engineers. The role requires strong software engineering, visual design judgment, interaction design, and information architecture expertise.

Lead architecture and engineering of high-performance crypto market feed handlers and exchange connectivity. Build low-latency ingestion, normalization, sequencing, order book construction, and distribution systems; drive venue onboarding, data quality, reconciliation, recovery, and replay; improve latency, throughput, resiliency in a 24/7 production environment; partner with trading and research teams; mentor engineers and define operational KPIs.

Support rates sales and trading desk by booking and reconciling trades, managing risk breaks, automating operational workflows with developers, coordinating releases and testing, and liaising with Trading, Technology, Compliance, Operations, Accounting and Business Management to deploy new trading capabilities and support day-to-day operations.

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.

The role involves building and supporting production-level trading systems in C++ for credit and rates products, collaborating with traders and quantitative researchers.

Design, build, and operate cloud-native platform services and distributed systems to support research, AI, and data-intensive workloads. Create abstractions, APIs, and automation for cloud resource management; manage large-scale compute, storage, and networking; improve observability, performance, and resiliency; collaborate with researchers to deliver scalable production systems.

Build full-stack, low-latency trading and pricing tools for options traders. Collaborate with traders, researchers, and business stakeholders to design intuitive frontends and scalable backend services, prototype and productionize distributed systems, and expand trading capabilities globally while improving performance, stability, and usability.

Design, implement, and maintain low-latency, high-performance network infrastructure for trading systems. Partner with engineering teams to automate, monitor, and troubleshoot distributed networks, optimize performance, ensure resilience and security, and evaluate emerging technologies to improve scalability and reliability.

As a PhD intern, you'll develop trading strategies, conduct statistical analysis, backtest models, and collaborate with experienced team members in quantitative research.

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.

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.

Analyze financial markets and securities using fundamental and quantitative research. Develop sector expertise, identify pricing inefficiencies, transform unstructured data into signals, monitor market trends, and collaborate with traders to create actionable trade ideas during an 11-week internship.

Conduct end-to-end ML research for options trading: design experiments, train large-scale models (LLMs/transformers), build scalable pipelines, validate and deploy models to production, and translate research into measurable P&L impact.

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.

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.