Machine Learning Researcher - PhD Intern (US)

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 data sets in the world. 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 data sets, 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 Prior experience working in a data driven detailed research environment 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, Miami, Greenwich, and Houston. In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week. #J-18808-Ljbffr Citadel