Search the 25 jobs at Citadel Securities

Design, develop, and deploy software solutions for automated trading systems. Partner with Quantitative Research team to deliver custom software solutions.

Design, develop, test, and deploy elegant software solutions for automated trading systems. Partner with the Quantitative Research team to define priorities and deliver custom software solutions.

FPGA Engineer at Citadel Securities responsible for creating next-generation FPGA solutions to support ultra-low latency trading systems. Collaborate with business leaders to optimize trading system performance. Opportunities available in New York, Singapore, Sydney, and Hong Kong.

Senior Research Engineer (Data) responsible for curating large-scale structured and unstructured data, translating high-level queries, developing data pipelines, and setting up analytical infrastructure. Must have experience driving business outcomes through data engineering and strong coding skills in Python and SQL.

Develop fundamental knowledge of financial markets, identify pricing inefficiencies, transform data sets into signals, and predict distribution of outcomes. Collaborate with trading team and refine forecasts into actionable trade ideas.

Internship opportunity at Citadel Securities for Trading Fundamental Analyst. Develop fundamental knowledge of sectors, identify pricing inefficiencies, and work with traders to monetize predictions. Opportunity to collaborate with senior team members and network with peers throughout the 11-week program.

Support quantitative research and trading by designing and implementing proprietary libraries and machine-learning pipelines. Leverage modern computer architectures to improve throughput and reduce cost. Identify compute waste and bottlenecks to deliver cost-efficient solutions at scale. Customize solutions for results and adoption with partner teams.

Our Software Engineers create next-generation software to support business areas across the firm in developing and delivering custom-solutions that optimize performance and efficiency.

Site Reliability Engineer with experience in UNIX/Linux command line, TCP/IP networking, troubleshooting, SQL database queries, Bash, Python, application support, capacity planning, infrastructure upgrades, collaboration, problem-solving, and technology trends.

Conduct research and statistical analyses on securities, work with large data sets to predict market patterns, develop mathematical models, and implement trading models in live trading environment

The Client Execution Trading role is responsible for managing trade order lifecycle and workflow to optimize client experience. In this position you will have the opportunity to expand the breadth of your expertise while working with sales traders, quantitative researchers, and development teams across a variety of asset classes.

The Data Quality Analyst Lead will be responsible for processing, curating, and enhancing alternative datasets for the Citadel Securities Research Team. They will analyze data, create visualizations, and oversee other analysts. This is an entry-level position.

As a Senior Network Engineer, you will play a critical role in designing, implementing, and maintaining our complex network infrastructure to ensure low-latency, high-performance trading systems.

Our Software Engineers create next-generation software to support business areas across the firm in developing and delivering custom-solutions that optimize performance and efficiency.

As a Site Reliability Engineer, you will be responsible for supporting and troubleshooting real-time, distributed environments and managing large-scale application and infrastructure deployments. You should have strong knowledge of UNIX/Linux, TCP/IP, and network routing, as well as experience in SQL database queries and scripting languages like Bash and Python.

Research and conduct statistical analyses on securities. Use large data sets to predict and test market patterns. Develop mathematical models and translate algorithms into code. Back test and implement trading models in a live trading environment.

Develop in-depth financial market knowledge, apply advanced statistical techniques to trading, constantly learn and adapt trading approaches, and innovate using powerful trading platforms.

Develop in-depth knowledge of financial markets, apply advanced statistical techniques to trading, constantly learn and adapt trading approaches, innovate by using powerful trading platforms.

Develop in-depth knowledge of financial markets, apply advanced statistical techniques to trading, constantly learn and adapt trading approaches, innovate using powerful trading platforms.

Conceptualize valuation strategies, develop mathematical models, implement trading models, use unconventional data sources, conduct research and statistical analysis