Junior Commodities Fundamental Analyst

Geneva, London, Paris, Singaporevia Squarepoint Capital CareersPosted May 7, 2024
Match with my CV

Technical skills

PythonData analysis

About this role

Position Overview:

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

Typical Day:

  • Before market opens, check that all required data and related processes are ready for the trading day.
  • During the trading day, perform ad-hoc analysis on topics linked with current trade opportunities.
  • Work on various long-term projects to build market-leading analytical models.

Required

Qualifications

  • Advanced degrees in Mathematics/Statistics/Engineering/Econometrics/Applied Economics or related subjects.
  • Experience in researching, analyzing and modelling data – ideally through prior internship experience or in a related position.
  • Coding skill in Python is required and ease with Excel 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.

The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates’ compensation and benefits will be determined in consideration of various factors.

Before you apply

  • 1Which parts of your CV prove experience with Python and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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