Global Quantitative Strategies | Machine Learning Researcher

Machine Learning Researcher

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

• 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

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.