Top Internships

Quantitative Researchers at Citadel use advanced statistical techniques to develop models and trading strategies, backtesting them in live environments.

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

SREs at Citadel focus on optimizing and maintaining system reliability, performance, and automation for investment applications, collaborating closely with teams.

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.

Design, build, optimize, and scale machine learning models and systems for quantitative investment research and production. Collaborate with quantitative researchers and engineers on model architecture, distributed training, inference optimization, research tooling, and internal ML libraries. Improve training speed, scalability, reliability, performance, and cost efficiency across high-performance computing environments while translating research needs into robust technical solutions.

Leads strategy, roadmap, design, launch, and scaling of data-driven health and human performance programs. Evaluates care models and digital health technologies, develops business cases and product requirements, manages vendors and cross-functional stakeholders, tracks outcomes, and drives program iteration. Partners with the Chief Medical Officer and Benefits team on health services, analytics, healthcare navigation, and employee health initiatives.

The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.

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.

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.

The role involves physical gas trading, analysis, and scheduling, requiring keen knowledge of U.S. gas markets and collaboration with internal stakeholders.