Jobs at Citadel

Develop high-performance C++ systems for systematic investing, including real-time data processing, low-latency trading execution, and machine-learning inference tools. Design scalable distributed systems and resilient data pipelines, maintain critical production platforms, and build greenfield solutions in collaboration with quantitative researchers. Ensure software correctness, reliability, performance, and fail-safe operation in live-market environments while aligning technical work with business value.

Optimize and manage portfolio-level trading strategies by translating quantitative research into production. Tune allocators and risk, minimize trading costs and market impact, monitor performance in real time, and conduct statistical research to improve risk-adjusted returns.

Early-career data scientist supporting sector investment teams: deliver data pulls, analyses, trackers, dashboards, anomaly investigations, and reusable Python/SQL tooling. Use time-series methods, alternative data, and LLMs to accelerate workflows and build commercial judgment with investors.

Intern will help turn quantitative research into production equities trading strategies, optimize portfolio allocation and risk, minimize trading costs and market impact, monitor performance, and perform statistical research to improve risk-adjusted returns while making real-time allocation decisions under supervision.

Conduct quantitative research for financial markets by developing valuation strategies, mathematical models, trading signals, and monetization systems. Responsibilities include translating algorithms into code, backtesting and implementing trading models, analyzing unconventional data sources, and applying statistical techniques. The 11-week post-doctoral internship involves collaboration with senior researchers in a fast-paced investment environment.

Develop and evolve investor-facing equity products from discovery through launch and iteration. Build high-performance, data-intensive interfaces using React and TypeScript for research, risk, portfolio, and investment workflows. Collaborate with investors, product managers, UX designers, and engineers to identify opportunities, shape product strategy, prototype solutions, and deliver maintainable, well-tested software with strong commercial impact.

Summer internship for undergraduate students graduating December 2028 through May 2029. Interns will develop financial modeling and company research skills, evaluate businesses and investment opportunities, analyze external data, and support long/short equities investing through investment-team rotations and mentorship.

Human Resources Interns support global HR projects and processes, identify process-improvement opportunities, analyze HR data, and develop solutions to talent challenges. They collaborate with stakeholders across People Operations, Benefits, Learning and Development, and People Analytics. The role requires strong communication, organization, analytical and problem-solving skills, along with proficiency in Excel, PowerPoint, and familiarity with AI tools such as Gemini and Claude.

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

An 11-week Finance and Accounting internship offering placements in corporate accounting, fund and broker-dealer accounting, or financial reporting. Responsibilities include auditing expense reports, supporting cash receipts and journal entries, assisting with regulatory and financial reporting, monitoring compliance, overseeing accounting records and NAV calculations, supporting audits, and researching U.S. GAAP and IFRS questions. Interns also identify process improvements and collaborate with stakeholders.

Support investment teams by acquiring, cleaning, and analyzing multi-source data to test investment theses, identify inflection points, and present research. Learn fundamental investor approaches, build decision-support tools, and communicate findings clearly to Sector Data Analysts and investment teams.

Participate in a structured fixed income and macro trading rotation. Develop expertise in financial markets, apply statistical techniques to trading, adapt investment approaches, and use advanced trading technology. Collaborate with traders, quantitative researchers, and technologists while identifying opportunities and managing risk. The internship also includes networking with senior team members and peers.

This role entails using statistics and machine learning to analyze complex datasets, implementing algorithms, and back-testing models. A PhD is required for this position.

MBA interns will support HR strategy, organizational design, talent analytics, professional development, and organizational change initiatives. They will collaborate with HR leadership and stakeholders, analyze workforce data, develop career frameworks, and present strategic recommendations to senior leadership. Opportunities span People Operations, Benefits, Learning and Development, and People Analytics in New York.

Summer intern role building high-performance, large-data research platforms and web frameworks. Collaborate in small teams to create tools for trading strategies, applying distributed computing, NLP, and machine learning.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

11-week internship building high-performance research platforms and trading tools. Work in small teams on distributed systems, NLP/ML applications, and web frameworks while collaborating with senior engineers.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.