Junior Commodities Market Analytics Analyst

Squarepoint Capital; Paris; Sur place; EUR 121 000 - 148 000; Plein temps

Avantages offerts par ce poste

Discretionary bonuses

Health insurance

Dental plan

Wellness programs

401(k) contributions

Résumé du poste

Squarepoint Capital is seeking a candidate to support trading desks by building fundamental commodity models and expanding analytics tools. You will produce ad hoc analyses to back trade ideas, evaluate data quality, and maintain essential data operations. A strong quantitative background and Python skills are essential.

The role emphasizes collaboration across teams and regions, with opportunities to work on long-term analytics projects and improve data processes for market-leading insights.

Qualifications

• Advanced degree in Mathematics, Statistics, Engineering, Econometrics, or Applied Economics or related field.
• Experience in researching, analyzing and modelling data, ideally via internship or related role.
• Coding in Python is required and comfort with Excel is a plus.
• Excellent writing skills and ability to synthesize information quickly.
• Strong communication and collaboration across teams.

Responsabilités

• Support desks in building fundamental commodity supply and demand models.
• Develop and expand analytics tools and processes for the desk.
• Produce ad hoc analysis for short-term market developments to support trade ideas.
• Evaluate and improve market data quality.
• Run and maintain processes related to fundamental data operations.

Connaissances

Python coding

Excel proficiency

Strong written communication

Strong quantitative analysis

Internship experience

Formation

Advanced degrees in Mathematics/Statistics/Engineering/Econometrics/Applied Economics or related subjects

Outils

Python

Excel

Description du poste

Squarepoint Capital is seeking a candidate to support trading desks by building fundamental commodity models and expanding analytics tools. You will produce ad hoc analyses to back trade ideas, evaluate data quality, and maintain essential data operations. A strong quantitative background and Python skills are essential.

The role emphasizes collaboration across teams and regions, with opportunities to work on long-term analytics projects and improve data processes for market-leading insights.