PhD Quant Research Engineer Intern - Trading Systems

Citadel Securities; Miami (FL); On-site; USD 205,000 - 264,000; Full time

Job summary

Citadel Securities offers an 11-week internship aimed at designing, developing, testing, and deploying software for automated trading systems. Interns work with Quantitative Researchers to deliver bespoke software solutions and priorities with senior team collaboration.

Opportunities exist in Miami and New York, with a base weekly salary range during the program. You will collaborate across teams, apply advanced statistics and software engineering skills to systematic investing, and network with

Qualifications

• PhD degree in computer science, mathematics, statistics, physics, or another highly quantitative field.
• Strong programming skills with proficiency in C++, Python, and R.
• Strong computer science fundamentals and software development experience.
• Experience with 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.

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.

Skills

PhD degree

C++

Python

R

Distributed Computing

NLP

Machine Learning

Platform Development

Networking

System Design

Web Development

Communication Skills

Education

PhD degree in a highly quantitative field

Job description

Citadel Securities offers an 11-week internship aimed at designing, developing, testing, and deploying software for automated trading systems. Interns work with Quantitative Researchers to deliver bespoke software solutions and priorities with senior team collaboration.

Opportunities exist in Miami and New York, with a base weekly salary range during the program. You will collaborate across teams, apply advanced statistics and software engineering skills to systematic investing, and network with