At Citadel, our mission is to be the most successful investment team in the world. Machine Learning 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 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
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
Your Skills & Talents
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 Hong Kong and Singapore.
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