Quant jobs / GSA Capital
Quantitative Researcher
A general quantitative researcher post at GSA Capital, designing systematic strategies from market data. The posting is brief and aimed at candidates with outstanding academic records.
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.
- Analyse large financial datasets for patterns
- Build mathematical and statistical models of markets
- Turn models into robust trading algorithms
- Maintain and extend existing strategies
What they ask for
Required
- Strong academic credentials
- Applied mathematics and statistics
- Ability to evaluate large datasets
- Interest in building trading models
- Education
- Not specified
- Experience
- Level not stated
How to prepare
- Practise statistical modelling and out-of-sample validation
- Build a backtested toy strategy and critique its overfitting
- Revise probability and linear algebra
- Get comfortable coding data analysis
What to study
- Probability, Statistics and Financial Data
- Quantitative Research, Data and Backtesting
- Econometrics and Financial Time Series
- Python for Quantitative Finance
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 GSA Capital’s site before applying: requirements, location and pay can change after we check them.
View the posting on GSA Capital’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with GSA Capital and doesn’t handle applications.
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