Quant jobs / D. E. Shaw

Quantitative Analyst

A core quant role at D. E. Shaw where analysts use mathematics and software to build statistical models for computerised trading strategies. Work ranges from finding new trading ideas to evaluating performance.

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.

Use financial data to improve profitability, cut risk and reduce transaction costs
Turn new trading ideas into systematic strategies
Critically evaluate strategy performance
Write the software that implements models

What they ask for

Required

Exceptional academic record in maths, statistics, physics, engineering, CS or similar
Mathematical techniques
Software writing ability
Creativity in trading ideas

Education: Top results in maths, statistics, physics, engineering, CS or similar programmes
Experience: Undergraduate, master's or PhD graduates; PhD or comparable experience paid higher

How to prepare

Practise probability, statistics and mathematical problem solving at interview level
Build a Python research project from idea to evaluated strategy
Study transaction-cost and risk concepts so you can reason about trade-offs
Be ready to discuss your most challenging academic work in depth

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.