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Machine Learning Researcher — PhD Graduate
Citadel
Quantitative / QuantAsset ManagementMid-Level (3-5 yrs)On-siteHedge Fund
Ideal for PhD graduates in ML or quantitative fields wanting to apply research skills to systematic trading.
AI → Finance
Location
New York, NY / Miami, FL
Salary Range
$225,000 – $300,000
Posted
Mar 12, 2026
PhD-level ML Researcher role at Citadel developing commercial machine learning solutions for systematic trading and alpha generation.
## About the Role
Citadel is hiring PhD graduates as Machine Learning Researchers to join its quantitative research teams. You will work alongside top investment professionals, researchers, and engineers in a culture of learning, developing commercial ML solutions for systematic trading strategies.
## Responsibilities
- Develop and test machine learning models for alpha generation and portfolio construction
- Apply advanced statistical techniques to large financial and alternative datasets
- Build end-to-end ML pipelines from research to production deployment
- Collaborate with portfolio managers on signal research and strategy development
- Stay current with ML research and identify applications to quantitative finance
## Requirements
- PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics, or related field
- Strong publication record or demonstrated research excellence
- Expert Python programming with production software engineering skills
- Experience with deep learning frameworks and large-scale computation
- Intellectual curiosity and passion for solving complex problems
Skills & Technologies
Machine Learning ResearchPythonDeep LearningStatistical ModelingAlpha GenerationPortfolio ConstructionLarge-Scale Computation
Best Backgrounds
- ML research
- quantitative finance
- statistical modeling
- computational science
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