Machine Learning Researcher

About the Role

Machine Learning Researchers play a key role at Citadel by developing next-generation models and trading approaches for a range of investment strategies. Researchers will challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets.

Key Responsibilities

• 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

Requirements & Tech Stack

• 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 $235,000 to $300,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.