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Quantitative Trading Analyst Intern

A ten-week summer internship working on a small team that blends trading, technology and research. Interns tackle project-based assignments on the trading desk and present results to senior leaders.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Build research projects ranging from macro data analysis to ML on tick data
  • Track positions and calculate risk
  • Analyse theoretical option values
  • Present project results to senior leadership

What they ask for

Required

  • Studying maths, economics, physics, statistics, computer science or engineering
  • Strong quantitative problem solving under time pressure
  • Python programming
  • Interest in financial markets
  • Clear communication of ideas
Education
Bachelor's, master's or PhD student in a quantitative or engineering subject, graduating December 2027 to June 2028
Experience
Current students; no prior experience stated
Languages and tools
  • Python

How to prepare

  • Build a small position and risk tracker in Python
  • Learn the basics of option theoretical value and Greeks
  • Try a simple ML model on tick or intraday data
  • Practise presenting a research result in five minutes

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on DRW’s site before applying: requirements, location and pay can change after we check them.

View the posting on DRW’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DRW and doesn’t handle applications.

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