Quant Research Intern — ML, Python & Trading Innovation

Tradermath; Chicago (IL); Hybrid; USD 250,000 - 300,000; Full time

Benefits offered by this job

Housing near office

Mentorship

Education course

Job summary

DRW, a diversified trading firm, seeks a Quantitative Research Intern to apply statistical methods, ML, and derivatives pricing theory in a trading environment.

You will work on systematic equity or fixed income topics, with Python data work, back-testing, and collaboration with traders and researchers, based in Chicago or New York.

Eligibility: pursuing Bachelor's, Master's or PhD in stats/ML/quant finance with graduation between Dec 2027 and Aug 2028; housing and mentorship provided.

Qualifications

• Pursuing a technical degree with focus on statistics, ML, or quantitative finance.
• Graduating between December 2027 and August 2028.

Responsibilities

• Create practical solutions in trading environments (systematic equity or fixed income).
• Conduct statistical analysis of market data and relationships across asset classes.
• Formulate models and apply ML to identify trading opportunities.
• Collaborate with traders and researchers to refine research infrastructure and tools.

Skills

Python

Data analysis

Statistics

Machine learning

Probability theory

Stochastic calculus

Numerical algorithms

NLP exposure

High-Performance Computing

Communication skills

Education

Bachelor’s/Master’s/PhD in Statistics/ML/Quant Finance

Tools

NumPy

Pandas

scikit-learn

Job description

DRW, a diversified trading firm, seeks a Quantitative Research Intern to apply statistical methods, ML, and derivatives pricing theory in a trading environment.

You will work on systematic equity or fixed income topics, with Python data work, back-testing, and collaboration with traders and researchers, based in Chicago or New York.

Eligibility: pursuing Bachelor's, Master's or PhD in stats/ML/quant finance with graduation between Dec 2027 and Aug 2028; housing and mentorship provided.