Quantitative Research Engineer – PhD Intern (US)
About the Role
Quantitative Research Engineers at Citadel 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. As an intern, you’ll collaborate and connect with senior team members through an 11-week program, challenge the impossible in research, and network with peers. The signature internship program takes place June through August, with occasional flexibility for other times of the year.
Responsibilities
- 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
Requirements
- 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
- 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
Locations
Opportunities available in New York, Miami, Greenwich, and Houston.
Pay
In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.
About Citadel
Citadel is a global investment firm built around world-class talent, sound risk management, and innovative leading-edge technology. The firm seeks candidates with a proven track record of excellence and a strong desire to apply advanced software engineering skills to systematic investing.