Quantitative Researcher PhD Intern (US)

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 data sets in the world.

As an intern, you’ll dive into 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. Your Objectives Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code Back test and implement trading models and signals in a live trading environment Use unconventional data sources to drive innovation Conduct research and statistical analysis to build and refine monetization systems for trading signals Your Skills & Talents PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data driven research environment

Experience

with translating mathematical models and algorithms into code (Python, R or C++) Independent research experience Ability to manage multiple tasks and thrive in a fast-paced team environment Excellent analytical skills, with strong attention to detail Strong written and verbal communication skills Opportunities available in New York, Miami, Greenwich, and Houston. In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.