Quant jobs / Two Sigma
Quantitative Researcher – Full-Time Campus Hire
A graduate researcher role designing investment models for global markets at a quantitative investment firm. The firm hires from all degree levels and teaches finance on the job.
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.
- Build and test investment models on a wide range of datasets
- Apply machine learning to market data
- Work with engineers to test ideas at scale
- Join reading circles and seminars to keep up with research
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 data
- Independent, creative data analysis
- Clear communication
- Education
- Degree in a technical or quantitative discipline; all levels from bachelor's to doctorate welcome.
- Experience
- New graduates
- Languages and tools
How to prepare
- Do a substantial data-driven research project and write it up
- Learn core statistics and machine learning with proper validation
- Practise Python on large messy datasets
- Read a few quant research papers and replicate a result
What to study
- Probability, Statistics and Financial Data
- Python for Quantitative Finance
- Financial Machine Learning
- Quantitative Research, Data and Backtesting
- Mathematics Primer
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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.
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