Design and build high-performance AI infrastructure, optimizing and maintaining production systems while collaborating with researchers and analysts.
Job Description
Role Summary
As a Research Engineer at Citadel Securities, you will work closely with the best talents in the industry to design and build high-performance and foundational Alpha and AI infrastructure. Your work will enable researchers/analysts/traders to leverage the most advanced AI algorithms efficiently and productively in their day-to-day workflow.
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.
Objectives
Skills and Preferred Qualifications
Bonus Points
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
Role Summary
As a Research Engineer at Citadel Securities, you will work closely with the best talents in the industry to design and build high-performance and foundational Alpha and AI infrastructure. Your work will enable researchers/analysts/traders to leverage the most advanced AI algorithms efficiently and productively in their day-to-day workflow.
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.
Objectives
- Design, develop, and deploy high-performance solutions to modernize our Alpha and AI infrastructure.
- Work with the researchers to define priorities, deliver new functionalities, optimize, and maintain day-to-day productions.
- Stay at the frontier of open-source engineering/AI solutions and adapt them for internal use.
Skills and Preferred Qualifications
- Strong problem-solving and communication skills
- Strong development skills in Python and C++
- Experience with machine learning libraries/frameworks (e.g. PyTorch, HuggingFace) and a demonstrated passion for leveraging AI and engineering excellence to make big impact in quantitative finance.
Bonus Points
- Experience working across the entire product lifecycle from conceptualization to production.
- Experience building high-performance infrastructure.
- Experience building LLM applications with open-source projects, or other orchestration frameworks.
- Experience with information retrieval systems, semantic search, etc.
- Experience with classical NLP tools
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
Citadel Securities New York, New York, USA Office

425 Park Avenue, New York, NY, United States, 10022
Similar Jobs at Citadel Securities
Information Technology • Software • Financial Services • Quantitative Trading
Translate mathematical models into ultra-low latency implementations, optimize trading algorithms, and develop high-performance C++ systems for real-time trading.
Top Skills:
C++GpusTpus
Information Technology • Software • Financial Services • Quantitative Trading
Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.
Top Skills:
C++Distributed ComputingMachine LearningNatural Language ProcessingNetworkingPlatform DevelopmentPythonRSystem DesignWeb Development
Information Technology • Software • Financial Services • Quantitative Trading
As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.
Top Skills:
C++Distributed ComputingMachine LearningNatural Language ProcessingNetworkingPlatform DevelopmentPythonRSystem DesignWeb Development
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


