Quantitative Researcher — Systematic Trading (Hybrid)

Risk Hub; Chicago, New York (IL, NY); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Time off

Insurance coverage

Parental leave

Meals & snacks

Wellness reimbursement

Job summary

Chicago Trading Company (CTC) seeks a Quantitative Researcher to partner with Trading and Technology to advance the firm's quantitative trading capabilities. You will be embedded on a research desk, applying the scientific method to real market problems in a fast-paced environment.

You will analyze data, build models, back-test ideas, and communicate results. A PhD and 5+ years in top teams, plus strong Python with NumPy/Pandas, are strongly preferred.

Qualifications

• PhD in Science or Engineering strongly preferred.
• Minimum 5 years of experience as a Quantitative Researcher in a top systematic trading team.
• Demonstrable track record of generating positive PnL.
• Advanced programming skills and experience with the software development lifecycle.
• Proven ability to blend academic rigor with practical application in fast-paced trading environments.
• Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes.
• Python skills including NumPy and Pandas libraries.

Responsibilities

• Analyze market data to come up with economic and microstructure hypotheses.
• Build predictive and explanatory models to describe financial markets.
• Add revenue by applying thorough research processes to real life business problems.
• Conduct independent, high quality research in quantitative finance.
• Communicate complex ideas and research results effectively, both in writing and verbally.
• Drive innovation and results through analytical prowess and business acumen.

Skills

PhD preferred

5+ years experience

Positive PnL track record

Advanced programming

Python (NumPy/Pandas)

Education

PhD in STEM

Tools

Python

NumPy

Pandas

Job description

Chicago Trading Company (CTC) seeks a Quantitative Researcher to partner with Trading and Technology to advance the firm's quantitative trading capabilities. You will be embedded on a research desk, applying the scientific method to real market problems in a fast-paced environment.

You will analyze data, build models, back-test ideas, and communicate results. A PhD and 5+ years in top teams, plus strong Python with NumPy/Pandas, are strongly preferred.