Quant jobs / DRW

Quantitative Research Intern

A summer internship placing students on either a systematic equity desk or a fixed-income options desk. Interns work on trader-supervised research projects using statistics and machine learning.

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.

Run statistical analysis on market data and relationships across assets
Apply modelling and ML to find trading opportunities
Help build research tools with traders and researchers
Report methods and results to the desk

What they ask for

Required

Studying a technical degree (statistics, optimisation, ML, AI or quant finance)
Python data stack: numpy, pandas, scikit-learn
Solid statistics
Probability, stochastic calculus and numerical methods
Experience exploring large datasets
Clear written and verbal communication

Preferred

Exposure to natural language processing or high-performance computing
Publications in NLP or high-performance computing

Education: Bachelor's, master's or PhD student in a technical field, graduating December 2027 to August 2028
Experience: Current students; no prior experience stated
Languages and tools: Python
Markets: equities, options, fixed-income

How to prepare

Refresh Monte Carlo and finite-difference methods with a small option pricer
Practise pandas/scikit-learn on a financial dataset with proper train/test splits
Review stochastic calculus basics (Brownian motion, Itô)
Prepare a short write-up of a research project to practise explaining results

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.