Conduct innovative machine learning research and develop scalable, robust models for financial markets across asset classes. Apply deep learning, sequence and time-series modeling, natural language processing, large language models, pre-training, fine-tuning, and reinforcement learning to model price formation, market behavior, and risk. Design, implement, optimize, and deploy models using Python and modern machine learning frameworks while collaborating with quantitative researchers, engineers, and traders.
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:
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel please share your details and we will contact you if there is a vacancy available.
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.
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
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel please share your details and we will contact you if there is a vacancy available.
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.
Citadel Singapore, Singapore, SGP Office
Citadel Singapore Office
Asia Square Tower 2, #22-01/02, 12 Marina View, Singapore, Singapore, 018961
Similar Jobs at Citadel
Information Technology • Software • Financial Services • Big Data Analytics
The Quantitative Researcher develops trading models and conducts research using complex statistical techniques, requiring a PhD in a quantitative field.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services • Big Data Analytics
Commodities Analysts generate commodity investment ideas through fundamental research and data analysis, focusing on modeling supply and demand and improving data quality.
Top Skills:
MatlabPythonVBA
Information Technology • Software • Financial Services • Big Data Analytics
Conduct ML research (deep learning, NLP, statistics) on large and unstructured datasets, implement algorithms in production-quality code, back-test models, and document findings to inform trading strategies.
Top Skills:
Artificial IntelligenceC++Deep LearningMachine LearningNatural Language ProcessingPythonStatistics
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
