Quant jobs / D. E. Shaw

Quantitative Analyst, Ph.D. Intern – Summer 2027

A 12-week summer internship for PhD candidates in New York, working on a research project in one of D. E. Shaw's quant groups. It shows how graduate skills carry over to the firm's work.

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 a statistical modelling project on financial data
Write the code to analyse the data
Learn from a mentor in a quantitative research group
Attend academic talks and discuss research with other PhD interns

What they ask for

Required

PhD candidate with strong research record
Advanced coursework in a technical subject
Aptitude for abstract and quantitative reasoning
Python or similar data skills
Creativity in research

Preferred

Probability and statistics
Interest in quantitative finance

Education: PhD candidate in a technical or quantitative field
Experience: PhD students, usually near final year; no finance background needed
Languages and tools: Python

How to prepare

Be ready to explain your thesis work and its link to prediction or modelling
Practise probability and statistics problems
Build a Python analysis of financial data to show you can work with it
Read an introductory text on quantitative trading to learn the vocabulary

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 D. E. Shaw’s site before applying: requirements, location and pay can change after we check them.

View the posting on D. E. Shaw’s site ↗

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