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About the Role
Machine Learning Researchers at Citadel develop next-generation models and trading approaches for investment strategies by applying sophisticated statistical techniques to financial markets.
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
- 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
Skills
- Machine learning
- Deep learning
- NLP
- Statistics
- Artificial intelligence
- Python
- C++
Location
- New York
- Miami
- Greenwich
- Houston
Work Type
- Full-time
Experience Level
- PhD
Education Level
- 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
Salary/Compensations
- $4,500 to $5,800 per week
About the Company
- Citadel is one of the world's leading alternative investment managers.
- We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions.
- We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth.
- For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world.
- Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.