Global Quantitative Strategies | Machine Learning Researcher

Posted 3 Hours Ago
Be an Early Applicant
2 Locations
In-Office
300K-350K Annually
Mid level
Information Technology • Software • Financial Services • Big Data Analytics
Our ambition at Citadel is to be the most successful investment firm of all time.
The Role
Develop and deploy advanced machine learning models across asset classes, focusing on deep learning, sequence/time-series modeling, NLP/LLMs, pre-training, fine-tuning, and reinforcement learning. Design and optimize models for performance, scalability, and robustness to model price formation, market behavior, and risk while collaborating with researchers, engineers, and traders.
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Job Description
About Global Quantitative Strategies (GQS)
GQS is the quantitative investment business of Citadel. Founded in 2012, GQS has grown rapidly to become one of Citadel's core investment strategies and one of the top quantitative investment teams in the world. Collaborative teams of researchers, engineers, and traders build robust systems that operate at scale and apply advanced quantitative and machine learning techniques to identify investment opportunities.
Machine Learning Researchers at GQS develop and deploy models across a variety of asset classes. Their work spans deep learning, sequence and time-series modeling, natural language processing, large language models, pre-training, reinforcement learning, and methods for improving robustness in complex financial regimes.
Location
New York, Singapore
Required Skills and Qualifications:
  • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Physics, or a related quantitative field
  • Proven ability to conduct innovative and impactful research focused on solving real-world problems
  • Deep expertise in machine learning and deep learning, such as sequence modeling, large language models, or reinforcement learning
  • Experience with modern training techniques such as pre-training, fine-tuning, reinforcement learning, or related optimization methods
  • Expertise in Python and machine learning frameworks such as PyTorch or JAX
  • Strong mathematical and statistical foundations
  • Ability to design, implement, and optimize machine learning models for performance, scalability, and robustness
  • Demonstrated interest in financial markets and a drive to apply machine learning techniques to model price formation, market behavior, and risk

We collect and use personal data in accordance with our Privacy Policy. We retain data on prospective candidates and may consider suitability for alternative opportunities at Citadel. For more information, see our Privacy Policy.
In accordance with applicable law, the base salary range for this role is $300,000 to $350,000.
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.

Skills Required

  • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Physics, or a related quantitative field
  • Proven ability to conduct innovative and impactful research solving real-world problems
  • Deep expertise in machine learning and deep learning such as sequence modeling, large language models, or reinforcement learning
  • Experience with modern training techniques such as pre-training, fine-tuning, reinforcement learning, or related optimization methods
  • Expertise in Python and machine learning frameworks such as PyTorch or JAX
  • Strong mathematical and statistical foundations
  • Ability to design, implement, and optimize machine learning models for performance, scalability, and robustness
  • Demonstrated interest in financial markets and applying machine learning to model price formation, market behavior, and risk

What the Team is Saying

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The Company
HQ: Miami, FL
4,000 Employees
Year Founded: 1990

What We Do

Together, we've turn ambition into action. For more than three decades, Citadel has captured undiscovered market opportunities in markets around the world by empowering extraordinary people to pursue their best and boldest ideas. We strive to identify the highest and best uses of capital to generate superior long-term returns for the world’s preeminent public and private institutions.

Why Work With Us

Brilliant and driven people flourish at our firm. They follow their passions and share their skills to help everyone learn and grow.

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