Quantitative Researcher – Discretionary Oil
A researcher on Squarepoint's discretionary oil desk, building supply-and-demand models for crude and turning them into trade ideas. The work blends econometrics, data engineering and fundamental market knowledge.
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 refine crude oil supply-and-demand models
- Create analytics and visualisation tools for the desk
- Analyse short-term dislocations after data releases and policy shocks
- Validate commodity datasets and maintain data pipelines
- Present trade ideas to senior traders
What they ask for
Required
- Master's in financial engineering
- 1 year in quant or junior fundamental research
- Python modelling
- Crude oil supply-and-demand modelling
- Data curation and documentation
- Econometrics and statistical forecasting
- SQL
- Education
- Master's (or equivalent) in financial engineering.
- Experience
- 1 year as a graduate quant researcher, junior fundamental analyst or similar.
- Languages and tools
- Markets
- commodities, futures
How to prepare
- Build a simple crude inventory and price model from public EIA data
- Learn how Cushing and USGC flows drive spreads
- Practise forecasting with econometric methods
- Write data-quality checks for commodity datasets
What to study
- Econometrics and Financial Time Series
- Python for Quantitative Finance
- Financial Instruments, Markets and Conventions
- Quantitative Data Engineering
The Energy Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Squarepoint Capital’s site before applying: requirements, location and pay can change after we check them.
View the posting on Squarepoint Capital’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Squarepoint Capital and doesn’t handle applications.