PhD Quantitative Research Engineer - Automated Trading

Citadel; Miami (FL); On-site; USD 235,000 - 300,000; Full time

Benefits offered by this job

Discretionary incentive compensation

Medical insurance

Retirement plan

Job summary

Citadel is seeking Quantitative Research Engineers in Miami to design, develop, test, and deploy sophisticated software for automated trading systems. You will collaborate with the Quantitative Research team to align priorities and deliver tailored software solutions that drive systematic investing.

Ideal candidates hold a PhD in a highly quantitative field and possess strong skills in C++, Python, and R, with experience in distributed computing, NLP, and ML.

Qualifications

• PhD in a highly quantitative field such as computer science, mathematics, statistics, or physics.
• Strong programming skills in C++, Python, and R.
• A deep passion for technology, software development, and mathematics.
• Strong computer science fundamentals and software development experience.
• Experience with distributed computing, NLP, ML, platform development, networking, system design, and/or web development.
• Proven track record of solving problems by prioritizing business value and applying technology with strong communication.

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

C++

Python

R

Distributed computing

Machine learning

System design

Education

PhD in quantitative field

Tools

NLP frameworks

ML libraries

Job description

Citadel is seeking Quantitative Research Engineers in Miami to design, develop, test, and deploy sophisticated software for automated trading systems. You will collaborate with the Quantitative Research team to align priorities and deliver tailored software solutions that drive systematic investing.

Ideal candidates hold a PhD in a highly quantitative field and possess strong skills in C++, Python, and R, with experience in distributed computing, NLP, and ML.