Quant jobs / D. E. Shaw

Quantitative Analyst Intern – Summer 2027

A 12-week summer internship in New York where interns do a research project inside one of D. E. Shaw's quantitative groups. Each intern has a dedicated mentor.

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 research project using statistical modelling on financial data
Write software to analyse and test ideas
Work with quants and developers on the group's problems
Present results to the team at the end of the summer

What they ask for

Required

Strong academic record with advanced technical coursework
Aptitude for abstract reasoning and problem solving
Probability and statistics knowledge
Python or similar data skills
Full-time student, usually near final year

Preferred

Data-driven research experience
Interest in quantitative finance

Education: Full-time student in a technical programme such as maths, stats, physics, engineering or CS
Experience: Students, usually approaching their final year; no finance experience needed
Languages and tools: Python

How to prepare

Practise probability puzzles and brainteasers at interview level
Do a data project in Python that tests a simple statistical claim
Review core statistics: regression, hypothesis testing, bias and variance
Learn basic finance vocabulary so the project context is clear

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.