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The Recruiting Coordinator partners with recruiters on full-cycle recruiting, manages candidate pipelines, schedules interviews, and communicates with candidates throughout the onboarding process.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

FPGA Engineers at Citadel Securities design and deploy FPGA solutions to enhance trading systems, maximizing efficiency and performance.

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

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.