Who can apply?
- The Quantitative Trading Analyst Intern posting (Chicago) asks for a bachelor's, master's or PhD in mathematics, economics, physics, statistics, computer science or an engineering field, with expected graduation between December 2027 and June 2028.
- The Quantitative Research Intern posting (Chicago and New York) asks for a technical degree focused on statistics, optimization, machine learning, AI or quantitative finance, graduating between December 2027 and August 2028, plus Python's machine-learning stack and working knowledge of probability, stochastic calculus and numerical algorithms.
- The trading posting asks for advanced quantitative, analytical and problem-solving skills and proficient Python programming.
The graduation window decides eligibility: the trading internship needs graduation between December 2027 and June 2028, so a student graduating in 2029 is a cycle early.
Dates, pay & program timing
The trading internship runs 10 weeks, with interns on small teams combining technology, research and risk management. DRW states an annual base salary of $250,000 for the Chicago trading internship and a range of $250,000 to $300,000 for the research internship; for an internship these are annualized rates. DRW also lists platform engineering, AI/ML research and leadership rotation internships, and the postings give no deadlines.
View the deadline calendarThese details reflect the sources at the review date. An overview is not a live job offer. Check the official page for today's application status and the selected opening's written terms.
How to apply to DRW
- Open DRW's job board and choose the internship that matches your degree: trading, research or engineering.
- Check the graduation window on that posting; trading and research use slightly different windows.
- Apply while the posting is listed, with a resume that shows your quantitative coursework and Python work.
You leave FirstInternships to apply. We do not accept applications, offer referrals, or represent the employer.
Our editorial advice · not employer requirements
How to prepare a stronger application
Trading interviews at quantitative firms usually test probability and quick estimation. Practise expected-value and conditional-probability problems out loud, explaining your reasoning as you go, because the reasoning is what an interviewer is listening for. This is our suggestion, not DRW's stated process.
For the research role, show one project where you fit a model to noisy data and checked it honestly — a held-out test, a baseline you had to beat, a result that did not work. The posting names numpy, pandas and scikit-learn, so make it clear which of them you used.
Your preparation, on this device
Make it a plan.
Checking an item saves this program. These are planning prompts, not a substitute for the employer's full requirements.
Add a stage & next actionOfficial sources & update notes
We reviewed these publisher pages on . They establish the program facts above; our preparation suggestions are independent editorial guidance.
- Quantitative Trading Analyst Intern posting: program, eligibility, skills, location and pay
- Quantitative Research Intern posting: eligibility, skills, locations and pay
We do not infer deadlines, remote eligibility, or guaranteed offers from older recruiting cycles. Read our editorial process.