Quant jobs / Two Sigma
Data Scientist – Campus Full-Time
An early-career data scientist role at a quantitative investment firm, researching signals in unusual real-world datasets. The firm hires from outside finance and teaches the finance side.
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.
- Form and test hypotheses on diverse alternative datasets
- Review the literature and adapt methods to extract signals
- Work with engineers to test theories rigorously
- Present findings to business stakeholders
What they ask for
Required
- Degree in a quantitative or technical subject
- Python
- SQL
- An in-depth research project on real-world data
- Clear communication of complex ideas
- Independent thinking
Preferred
- Finance background
- Education
- Degree in a technical or quantitative discipline such as chemistry, CS, economics, statistics or quantitative social science; any level from bachelor's to doctorate.
- Experience
- New graduates; finance background not required
- Languages and tools
How to prepare
- Do a full data project on a messy real-world dataset and write it up
- Strengthen SQL and pandas for large, awkward data
- Learn empirical research design: confounders, causal methods and event studies
- Practise reading and replicating an applied empirical paper
What to study
- Python and Data Primer
- Probability, Statistics and Financial Data
- Event Studies and Causal Measurement in Finance
- Quantitative Data Engineering
- Econometrics and Financial Time Series
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
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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.