Quantitative Researcher, Systematic Trading & Innovation

Chicago Trading Company; Chicago (IL); On-site; USD 175,000 - 200,000; Full time

Job summary

Chicago Trading Company is seeking a Systematic Quantitative Researcher with a PhD to join a collaborative team developing market‑driving models and trading strategies. You will partner with trading and engineering to apply the scientific method to business problems.

The role emphasizes rigorous research, practical application, and contribution to infrastructure. Prior publications and strong Python skills are highly valued; C++ experience is a plus.

Qualifications

• PhD in Science or Engineering fields (Statistics, Mathematics, OR)
• Proven ability to conduct independent, high‑quality research
• Exceptional ability to communicate complex ideas, written and verbal
• Unwavering commitment to quality with focus on commercial outcomes
• Demonstrated expertise applying quantitative modeling to large datasets
• Strong track record of publications in an industry setting
• Advanced Python programming skills

Responsibilities

• Analyze market data to develop economic and microstructure hypotheses
• Build predictive and explanatory models of financial markets
• Add revenue by applying rigorous research to real business problems
• Contribute to ongoing improvements of research and trading infrastructure

Skills

PhD in Science or Engineering fields

Independent high‑quality research

Excellent communication skills

Quantitative modeling

Publications in industry setting

Python programming

Statistical analysis

Team collaboration

Education

PhD in Statistics/Mathematics/Operations Research

Tools

NumPy

Pandas

C++

Job description

Chicago Trading Company is seeking a Systematic Quantitative Researcher with a PhD to join a collaborative team developing market‑driving models and trading strategies. You will partner with trading and engineering to apply the scientific method to business problems.

The role emphasizes rigorous research, practical application, and contribution to infrastructure. Prior publications and strong Python skills are highly valued; C++ experience is a plus.