Machine Learning Researcher - PhD Intern

At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next‑generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex datasets in the world.

As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship.

Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

• Use statistics, machine learning (e.g. deep learning, NLP) to extract patterns from various kinds of 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

• PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
• Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
• Hands on programming experience in Python or C++
• A background demonstrating strong problem‑solving skills
• An ability to communicate advanced concepts in a concise and logical way
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error‑checking problems

Opportunities available in New York.

In accordance with applicable law, the base salary range for this role is $4,300 to $5,800 per week.