The Quantitative Researcher develops trading models and conducts research using complex statistical techniques, requiring a PhD in a quantitative field.
Job Description
At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
Your Objectives
Your Skills & Talents
Opportunities available in Hong Kong and Singapore.
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
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.
At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
Your Objectives
- Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
- Back test and implement trading models and signals in a live trading environment
- Use unconventional data sources to drive innovation
- Conduct research and statistical analysis to build and refine monetization systems for trading signals
Your Skills & Talents
- PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
- Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
- Prior experience working in a data driven research environment
- Experience with translating mathematical models and algorithms into code (Python, R or C++)
- Independent research experience
- Ability to manage multiple tasks and thrive in a fast-paced team environment
- Excellent analytical skills, with strong attention to detail
- Strong written and verbal communication skills
Opportunities available in Hong Kong and Singapore.
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
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.
Similar Jobs at Citadel
Information Technology • Software • Financial Services • Big Data Analytics
Engineers at Citadel work in small teams to develop high-performing technology under quick cycles. They focus on creating tools for trading strategies and data research platforms.
Top Skills:
Distributed ComputingMachine LearningNatural Language Processing
Information Technology • Software • Financial Services • Big Data Analytics
Support investment teams by acquiring, cleaning, and analyzing diverse datasets to test investment theses. Learn fundamental investor approaches, identify key data drivers and inflection points, and present research findings. Work with existing and new data to generate insights and decision-support tools for sector-focused investment research.
Top Skills:
ExcelPythonSQL
Information Technology • Software • Financial Services • Big Data Analytics
Develop mathematical models and trading strategies, back test trading models, conduct research and statistical analysis for monetization systems.
Top Skills:
C++PythonR
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
