Machine Learning Researcher
Citadel Securities
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Machine learningData structures & algorithmsDeep learningNLPStatisticsPython
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning90%Data structures & algorithms34%Deep learning32%NLP22%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
Citadel Securities is seeking Machine Learning Researchers with a PhD to join their quantitative research team. The team focuses on leveraging and tailoring state-of-the-art machine learning and AI algorithms to modernize the quantitative trading industry. They are looking for motivated researchers excited about solving challenging problems in a fast-paced environment.
Key Responsibilities
- Use statistics, machine learning, or AI (e.g., deep learning, NLP) to extract patterns from various datasets through innovative and rigorous research.
- Implement algorithms in high-quality code.
- Work with large datasets, including unconventional and unstructured data sources.
- Back-test models and document research findings.
Requirements & Tech Stack
- Hands-on programming experience in scripting (e.g., Python) and/or compiled languages (e.g., C++).
- Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems.
Qualifications
- PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field.
- Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field.
- Prior experience working in a data-driven research environment.
- Detail-oriented with the ability to deep dive into data.
- A background demonstrating strong problem-solving skills.
- An ability to communicate advanced concepts in a concise and logical way.
Opportunities available in Miami and New York.