Quant jobs / Two Sigma

Quantitative Researcher – Experienced Hire

A general quantitative researcher role designing investment models for global markets at a quantitative investment firm. It uses statistics and machine learning across a wide range of datasets.

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.

Develop and test investment models on a wide set of datasets
Apply machine learning to find predictive structure
Work with engineers to test hypotheses at scale
Follow academic research through reading circles and seminars

What they ask for

Required

Degree in statistics, maths, physics, electrical engineering or CS
Intermediate skills in a language such as Python or C++
An in-depth research project on real-world data
Independent, creative data analysis
Clear communication

Education: Degree in a technical or quantitative discipline; all levels from bachelor's to doctorate welcome.
Experience: Experienced-hire track; years not stated
Languages and tools: Python
C++
Java
C

How to prepare

Complete a rigorous data research project and write it up with limitations
Review statistical modelling and machine learning basics
Practise Python for large-scale analysis
Learn to explain a research result clearly to non-specialists

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 Two Sigma’s site before applying: requirements, location and pay can change after we check them.

View the posting on Two Sigma’s site ↗

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