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Who We Are
- What We Do
Quantitative Research
View Quantitative Research RolesOur Quantitative Researchers use mathematics, statistics, machine learning and rigorous experimentation to understand how markets behave and turn research into trading strategies and decisions at global scale.
They develop hypotheses, build and test models, translate mathematical ideas into code and learn from measurable results in live markets.
Applying Science,
Optimizing StrategyQuantitative Research at Citadel Securities sits at the intersection of statistical inference, large-scale computing and market microstructure.
Researchers work with large-scale, varied data and advanced modeling techniques to identify patterns, test hypotheses and build models that inform real-time decisions. Markets are non-stationary: relationships decay, regimes shift, and a result only counts once it holds under realistic costs, latency and capacity limits.
Our researchers work across the lifecycle, from hypothesis and experimentation through validation and deployment, in close partnership with engineers and traders. Once a model or strategy moves into live trading, market feedback provides clear, measurable evidence that informs the next iteration.
Questions Our
Researchers TackleThe questions vary by team, market and time horizon, but the work often starts with problems like these:
- How do you find persistent signal in enormous volumes of noisy, fast-changing market data?
- How do you build models for a system that changes in response to your own decisions?
- How do you balance predictive power, model complexity and speed when decisions have to happen in real time?
- How do you know whether a model has discovered something real—or simply learned the noise?
What Quantitative Researchers Do at Citadel Securities
Different problems, one research-to-trading pipeline.
Generate Alphas
Develop and test models that seek to explain and forecast market behavior. Researchers combine market intuition, statistical methods and machine learning to identify signals, understand how they behave and translate successful ideas into production.
Build Strategies
Turn forecasts into trading strategies. Researchers design the logic behind position sizing, risk, transaction costs, capacity and the other real-world constraints that shape how those ideas perform.
AI & ML Across the Research Lifecycle
The method follows the problem. Our researchers draw from a broad and evolving set of techniques—including deep learning, foundation and generative models, representation learning, multimodal methods and LLM-driven tools—to tackle problems across forecasting, market-state estimation, simulation, signal extraction and the research process itself. AI and ML are integrated throughout the research lifecycle.
Why Citadel Securities?
Resources for Peak Performance
We invest in the data, compute, infrastructure and tooling that allow strong research ideas to be tested rigorously and moved into production.
- Continued investment in data: Work with large, heterogeneous and multimodal datasets spanning structured feeds, event streams, alternative data, unstructured text and microstructure information.
- Advanced compute: Access to current GPUs, TPUs, AMX CPUs, FPGAs and cloud hardware for training and inference.
- High-performance infrastructure: Distributed systems support large-scale model training and inference, while production infrastructure is designed for demanding real-time constraints.
- Research tooling: Internal frameworks streamline access to data, compute, experimentation and deployment, reducing engineering friction and helping researchers move faster.
- Production optimization: Tooling supports architecture search, quantization, pruning, batching and fusion to help models meet demanding latency requirements.
Early Career Training
For students and early-career researchers, development comes through a combination of structured learning, close access to experienced colleagues and meaningful responsibility.
Accelerated Development
Build judgment by taking on meaningful work early, with fast feedback and increasing responsibility as your capabilities grow.
Mentorship
Managers and teammates provide context, challenge assumptions and help researchers build technical judgment, market understanding and confidence navigating complex problems.
Role Fundamentals
Develop a strong foundation in Quantitative Research, markets and implementation, from statistical modeling and experimentation to writing and testing code that can move into live trading.
Opportunities for Students
Whether through an internship, full-time role or programs and events students can work on real research problems, learn from experienced colleagues and build an understanding of how Quantitative Research operates in practice.
Open OpportunitiesInternships
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Learn MoreHear from Our Team
Researchers describe the problems they work on, how they collaborate and what has changed in their thinking over their careers at Citadel Securities.
“When you put the pieces together and the dots are finally connected, the satisfaction is beyond expression.”
“When you put the pieces together and the dots are finally connected, the satisfaction is beyond expression.”
Hear how Yiming applies her passion and resilience to research, working with her teammates to push limits every day.
“The world is ever-changing. There are always new things to learn.”
“The world is ever-changing. There are always new things to learn.”
Hear how Xiaojun applied his curiosity to propel exceptional professional growth.
“I don’t think there is a limit of what you can achieve.”
“I don’t think there is a limit of what you can achieve.”
Sören’s initiative, commercial acumen and creativity took him from an intern to a business leader in just over three years. Today, he heads our Foreign Exchange business—a team that recently won Best FX Flow Market Maker at e-FX Awards.
Inside Our Hiring Process
Learn more about how we evaluate Quantitative Research candidates, what to expect during the interview process and how to prepare.
InterviewingCandidate FAQs: Quantitative Research
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