As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.
Job Description
At Citadel Securities, Quantitative Research Engineers work closely with Quantitative Researchers to develop and implement automated trading system software solutions. These solutions utilize advanced statistical and quantitative techniques to tackle complex financial challenges. We seek candidates with a proven track record of excellence in their field and a strong desire to apply their advanced software engineering skills to systematic investing.
As an intern, you'll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.
Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.
Your Objectives
Your Skills & Talents
Opportunities available in Miami and New York.
In accordance with applicable law, the base salary range for this role is $4,800 to $5,300 per week.
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 .
At Citadel Securities, Quantitative Research Engineers work closely with Quantitative Researchers to develop and implement automated trading system software solutions. These solutions utilize advanced statistical and quantitative techniques to tackle complex financial challenges. We seek candidates with a proven track record of excellence in their field and a strong desire to apply their advanced software engineering skills to systematic investing.
As an intern, you'll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.
Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.
Your Objectives
- Design, develop, test, and deploy elegant software solutions for automated trading systems
- Partner with the Quantitative Research team to define priorities and deliver custom software solutions
Your Skills & Talents
- PhD degree in computer science, mathematics, statistics, physics, or another highly quantitative field
- Strong programming skills with proficiency in one or more programming languages, including C++, Python, and R
- A deep passion for technology, software development, and mathematics
- Strong computer science fundamentals and software development experience
- Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
- Proven track record of creatively solving problems by understanding and prioritizing business value and applying technology solutions
- Strong written and verbal communications skills
Opportunities available in Miami and New York.
In accordance with applicable law, the base salary range for this role is $4,800 to $5,300 per week.
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 .
Similar Jobs at Citadel Securities
Information Technology • Software • Financial Services • Quantitative Trading
As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.
Top Skills:
C++CudaPython
Information Technology • Software • Financial Services • Quantitative Trading
Analyze complex datasets, build predictive models, and communicate findings to stakeholders while collaborating with data engineers and quantitative researchers.
Top Skills:
GCPKafkaPandasPythonRScikit-LearnSparkSQLTableauTensorFlow
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
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
