Commodities Fundamental Analyst
Job in
Genf, Geneva, Switzerland
Listed on 2026-03-08
Listing for:
Squarepoint
Full Time
position Listed on 2026-03-08
Job specializations:
-
Finance & Banking
Financial Consultant, Financial Analyst, Financial Services, Data Scientist
Job Description & How to Apply Below
- Support the desk in building supply and demand models across various agricultural commodities
- Support in the buildout of new analytical models, and processes to improve efficiency based on commodities fundamental best practices.
- Produce ad hoc analysis based on short-term market developments as request by the desk to support commodities trade ideas.
- Take ownership of desk's data flows, including onboarding new datasets or issues being faced
- Run and maintain processes related to fundamental data operations
- Work with different teams to capture cross-desk synergies (equity mapping) and improve systematic reporting (callouts) of information flow
- Ad-hoc desk support regarding organization or technical assistance
- Check all models/visualisations are working as expected and check for any issues in data.
- Organise team confluence pages to ensure all information is up to date.
- Produce any ad-hoc analysis that traders/analysts may require
- Work on various long-term projects to build market-leading analytical models.
- Advanced degrees (MSc preferred) in Mathematics/Statistics or Quantitative Finance.
- Experience in quantitative research – ideally through prior internship experience or in a related position, in particular in commodities trading.
- Experience in highly quantitative trading asset classes (power in particular) and systematic trading is a plus
- Coding skill in Python is required and ease with Excel/VBA is a plus.
- Demonstrate passion for both investing and trends in commodities markets.
- Excellent writing skills and ability to quickly synthesize thoughts and organize information.
- Openness to tackle any project or task that is required.
- Strong communication skills and ability to work well with colleagues across multiple teams and regions.
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