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.
Job Description
Equity Quantitative Research (EQR) seeks to capitalize on market inefficiencies identified through a combination of structural analysis, leading-edge quantitative research and technology. The team trades billions of dollars a day by applying statistics, computer science and economic principles.
EQR manages several systematic and semi-systematic equities strategies in addition to equities trading. Every investment idea or trade requires an understanding of market flows, sophisticated mathematics and large-scale data analysis.
The Role
As a Quantitative Trader your core mandate is to optimize trading strategies to maximize profitability. You will decide how capital is allocated and risk is deployed across signals and strategies, tuning the portfolio so that every unit of risk earns as much as possible. You will work side by side with quantitative researchers and engineers to translate research into production strategies that trade real capital - by working to improve the optimizer, model and minimize trading costs and market impact, and manage capacity and financing.
You will own portfolio-level risk as a first line of defense - reasoning about exposures, intervening tactically as conditions change, and doing research and statistical analysis to continuously push the portfolio's risk-adjusted returns higher. This is a high-ownership seat where you make decisions under time constraints, mentored by leaders who have realized PnL at scale.
Your Objectives:
Your Skills & Talents:
Why Join Us:
Opportunities available in New York.
In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing stipend or covered living accommodations, company-sponsored travel, and a variety of on-site benefits, including access to on-site fitness and wellness amenities, catered meals, and social and networking events.
In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.
About Citadel
Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.
Equity Quantitative Research (EQR) seeks to capitalize on market inefficiencies identified through a combination of structural analysis, leading-edge quantitative research and technology. The team trades billions of dollars a day by applying statistics, computer science and economic principles.
EQR manages several systematic and semi-systematic equities strategies in addition to equities trading. Every investment idea or trade requires an understanding of market flows, sophisticated mathematics and large-scale data analysis.
The Role
As a Quantitative Trader your core mandate is to optimize trading strategies to maximize profitability. You will decide how capital is allocated and risk is deployed across signals and strategies, tuning the portfolio so that every unit of risk earns as much as possible. You will work side by side with quantitative researchers and engineers to translate research into production strategies that trade real capital - by working to improve the optimizer, model and minimize trading costs and market impact, and manage capacity and financing.
You will own portfolio-level risk as a first line of defense - reasoning about exposures, intervening tactically as conditions change, and doing research and statistical analysis to continuously push the portfolio's risk-adjusted returns higher. This is a high-ownership seat where you make decisions under time constraints, mentored by leaders who have realized PnL at scale.
Your Objectives:
- Partner with quantitative researchers and engineers to turn research into production trading strategies.
- Conduct research to find where the portfolio is leaving money on the table and to generate additional returns from existing strategies.
- Manage portfolio-level risk and exposures in real time, adapting allocation as market conditions change to protect and grow PnL.
- Continuously monitor strategy performance, diagnose issues, and iterate to keep strategies performing across market regimes.
Your Skills & Talents:
- A strong interest in game theory, decision theory, and strategy games, and the instinct to apply them to markets.
- Effective problem-solving skills and the rigor to reason about optimization, risk, and profitability from first principles - with the judgment to know where the next dollar of PnL comes from.
- Excellent written and verbal communication skills.
- A self-starter who is not afraid to question the status quo.
- A degree from a top university in a quantitative field such as statistics, mathematics, computer science, or physics - strong candidates often bring graduate research or competition experience.
Why Join Us:
- Direct ownership: your decisions trade real capital, and you see their impact immediately.
- Small, flat teams with no layers between your idea and production.
- Best-in-class data, compute, and engineering support, backed by the scale of Citadel's platform.
- A culture of intellectual rigor where the best idea wins, always.
- Learn directly from senior practitioners with deep research-to-production track records, who invest in developing the next generation of quantitative talent.
Opportunities available in New York.
In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing stipend or covered living accommodations, company-sponsored travel, and a variety of on-site benefits, including access to on-site fitness and wellness amenities, catered meals, and social and networking events.
In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.
About Citadel
Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.
Citadel New York, New York, USA Office
660 5th Ave, New York, New York, United States, 10103 0001
Citadel New York, New York, USA Office

425 Park Avenue, New York, NY, United States, 10022
Similar Jobs at Citadel
Information Technology • Software • Financial Services • Big Data Analytics
Develop and deploy advanced machine learning models across asset classes, focusing on deep learning, sequence/time-series modeling, NLP/LLMs, pre-training, fine-tuning, and reinforcement learning. Design and optimize models for performance, scalability, and robustness to model price formation, market behavior, and risk while collaborating with researchers, engineers, and traders.
Top Skills:
Deep LearningFine-TuningJaxLarge Language ModelsNatural Language ProcessingPre-TrainingPythonPyTorchReinforcement LearningSequence ModelingTime-Series Modeling
Information Technology • Software • Financial Services • Big Data Analytics
Partner with quantitative researchers to design, build, optimize, and scale deep learning models and tooling for research and production. Work includes model architecture, distributed training, inference optimization, ML libraries, and high-performance computing to improve training speed, scalability, reliability, and cost-efficiency in systematic investing workflows.
Top Skills:
C++CudaDistributed TrainingHigh-Performance ComputingJaxLinuxPythonPyTorchTensorFlow
Information Technology • Software • Financial Services • Big Data Analytics
The Citadel Associate Program offers undergraduates hands-on training in equities investing, focusing on financial modeling, company analysis, and investment research, with direct collaboration with investment teams.
Top Skills:
Data AnalysisFinancial ModelingResearch Tools
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


