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.
Job Description
Citadel is focused on acquiring, cleaning, and analyzing large, unstructured data sets to generate new insights. Given the vast amount of data being produced, Citadel is implementing new research methodologies to identify significant trends. The Sector Data Analyst Team is committed to generating sustained alpha using a scientific approach to generate fundamental investment insights.
Key Responsibilities:
• Learn fundamental investor approach and how data can enhance the research process
• Assist investment teams in understanding the key data drivers of companies and sectors
• Analyze data from multiple sources to test complex investment theses
• Quickly digest data, recognize inflection points, and determine data relevancy to the investment question at hand
• Perform research and present to SDAs and investment teams in a clear and digestible manner
• Work with existing and new data sets to push significant ideas and decision support tools to investment teams
Qualifications:
• Pursing a bachelor's or higher degree in statistics, engineering, economics, business, computer science, or physics
• Intellectual curiosity with a genuine interest in investment
• Professional demeanor, a capability to learn, think, and react quickly, along with exceptional communication and presentation skills as required for interaction with investment teams
• Creativity/ability to innovate, combined with a strong work ethic and organizational skills
• Comfort identifying, analyzing, and presenting
• Interest in finance and working in the investment industry
• Experience with Python, SQL, and Excel
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.
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 is focused on acquiring, cleaning, and analyzing large, unstructured data sets to generate new insights. Given the vast amount of data being produced, Citadel is implementing new research methodologies to identify significant trends. The Sector Data Analyst Team is committed to generating sustained alpha using a scientific approach to generate fundamental investment insights.
Key Responsibilities:
• Learn fundamental investor approach and how data can enhance the research process
• Assist investment teams in understanding the key data drivers of companies and sectors
• Analyze data from multiple sources to test complex investment theses
• Quickly digest data, recognize inflection points, and determine data relevancy to the investment question at hand
• Perform research and present to SDAs and investment teams in a clear and digestible manner
• Work with existing and new data sets to push significant ideas and decision support tools to investment teams
Qualifications:
• Pursing a bachelor's or higher degree in statistics, engineering, economics, business, computer science, or physics
• Intellectual curiosity with a genuine interest in investment
• Professional demeanor, a capability to learn, think, and react quickly, along with exceptional communication and presentation skills as required for interaction with investment teams
• Creativity/ability to innovate, combined with a strong work ethic and organizational skills
• Comfort identifying, analyzing, and presenting
• Interest in finance and working in the investment industry
• Experience with Python, SQL, and Excel
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.
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 New York, New York, USA Office
660 5th Ave, New York, New York, United States, 10103 0001
Citadel New York, New York, USA Office
425 Park Avenue, New York, NY, United States, 10022
Similar Jobs at Citadel
Information Technology • Software • Financial Services • Big Data Analytics
As a Quantitative Research Analyst Intern, you will develop and improve trading models, conduct statistical analysis, and collaborate with team members in a data-driven environment.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services • Big Data Analytics
Conduct ML research (deep learning, NLP) on large and unstructured financial datasets, implement algorithms in high-quality code, back-test models, document findings, and collaborate with senior researchers during an 11-week summer internship in Hong Kong or Singapore.
Top Skills:
C++Deep LearningMachine LearningNlpPythonStatistics
Information Technology • Software • Financial Services • Big Data Analytics
Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.
Top Skills:
C++Linux
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
