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based on your profileCitadel
New York,NY
Citadel
New York,NY
Machine Learning Researcher – PhD Graduate (US)
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About the job
- 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
- 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
In accordance with applicable law, the base salary range for this role is $225,000 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.
About Citadel
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.
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