Machine Learning Researcher

About the Role

Machine Learning Researchers at Citadel play a key role in developing next-generation models and trading approaches for a range of investment strategies. This involves 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

• Hands-on programming experience in Python or C++.
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems.

Qualifications

• 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.
• A background demonstrating strong problem-solving skills.
• An ability to communicate advanced concepts in a concise and logical way.

Opportunities available in New York, Miami, Greenwich, and Houston.

Base salary range: $235,000 - $300,000.

Eligibility for discretionary incentive compensation, medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.