Search the 22 jobs at Citadel

Software Engineers at Citadel build systems to support investment processes. They collaborate with investors and researchers to enhance trading, risk management, and settlement. Successful candidates possess strong technical and commercial acumen, coupled with problem-solving skills and the ability to manage multiple tasks in a dynamic environment.

As a Quantitative Research Engineer at Citadel's GQS, you will collaborate with researchers to analyze data and enhance automated trading systems. You will develop research tools and software solutions leveraging advanced quantitative techniques to address complex financial questions.

Site Reliability Engineers (SREs) at Citadel ensure the performance and availability of applications, automate repetitive tasks, manage incidents, and develop engineering solutions. They collaborate with other teams, leveraging their software development backgrounds to improve operational efficiency and promote the SRE mindset.

As a User Interface Developer, you'll gather requirements and create high-quality, scalable web applications. You'll collaborate with analysts and traders, visualizing financial data and delivering solutions to enhance workflows in real time while innovating the development process.

Software Engineers at Citadel design and develop software solutions for investment processes, working closely with business leaders and learning from senior management. They are expected to possess strong problem-solving skills and programming expertise, and manage multiple tasks in a dynamic environment.

The Quantitative Researcher will research portfolio construction and optimization for equity portfolios, apply statistical methods, build proprietary risk models, and develop econometric models for stress scenarios. The role involves collaboration with various teams, implementing analytics, and utilizing new data sources to drive financial insights.

As a Quantitative Developer at Citadel, you will build scalable and robust systems for risk analytics across various asset classes. This role focuses on integrating trading and technology while solving large-scale financial data challenges in a collaborative team environment.

The Risk Platform Engineer will architect and develop a risk analytics platform, integrating various codebases to build a comprehensive risk management system. This role involves collaboration with traders and researchers to create scalable solutions for large-scale financial data problems in a fast-paced environment.

As a Quantitative Researcher in Global Quantitative Strategies, you will conduct impactful research, build predictive models, develop optimization algorithms, and utilize portfolio optimization techniques to analyze financial markets. The role involves collaboration with teams to leverage advanced quantitative techniques for investment opportunities.

The Quantitative Research Analyst will develop models and trading approaches for investment strategies, conduct statistical analyses, and back test trading models. The role requires conceptualizing valuation strategies, utilizing unconventional data sources, and translating algorithms into code while thriving in a fast-paced environment.

Quantitative Researchers develop advanced models and trading strategies for investment, conducting statistical analysis and back testing in real trading environments. They incorporate complex statistical techniques and unconventional data sources to innovate in financial markets.

This intern position involves supporting various finance and accounting teams, including Financial Reporting, General Ledger, Corporate Accounting, and Broker-Dealer Accounting. Responsibilities include preparation and review of financial statements, audit support, account reconciliations, research into accounting questions, and process improvements.

As an intern in the investment and trading team, you will develop knowledge of financial markets and apply advanced statistical techniques to trading. The role involves learning, adapting trading approaches, and innovating using a powerful trading platform, all under the mentorship of senior team members.

As a Quantitative Researcher Intern at Citadel, you will develop mathematical models and trading strategies, backtest them in live trading environments, and analyze data to improve monetization systems. This role involves collaboration with senior researchers and networking with peers during an 11-week program.

The Operations Intern will assist in various aspects of trade lifecycle including clearance, settlements, and cash management. The role involves collaborating with trading desks and external parties while identifying technology and process improvements. It offers exposure to financial markets and opportunities for skill development in a dynamic environment.

As a Software Engineer at Citadel, you will work in small teams to create high-performance technology, develop research platforms, and build web frameworks that bring trading strategies to life.

The Launch Internship at Citadel is an 11-week paid program for students aspiring to be engineers in the finance industry. Interns work on technological tools, high-performance data platforms, and collaborate on projects that impact global capital markets. They have the opportunity to network with experienced engineers and senior leaders at Citadel and Citadel Securities.

Quantitative Research Analyst Intern responsible for developing next-generation models and trading approaches for investment strategies. Conceptualize valuation strategies, develop mathematical models, back test and implement trading models, and conduct statistical analysis.

As a Sector Data Associate Intern, you will learn to enhance research processes through data, assist investment teams by analyzing various data sources, and present findings clearly. You'll work with diverse datasets to inform investment strategies and drive impactful insights.

As a Software Engineer Intern, you'll collaborate in small teams to develop high-performance technology tools and platforms, applying innovative techniques in distributed computing and machine learning while engaging with senior team members during an 11-week program.