London Energy Analytics Graduate Programme

London Energy Analytics Graduate Programme

Full-Time 25000 - 32000 Β£ / year (est.) No working from home possible
Glencore

At a Glance

  • Tasks: Gain hands-on experience in energy commodities trading and data analysis.
  • Company: Join Glencore, a leading global energy company in London.
  • Benefits: Structured development, real responsibility, and exposure to senior decision-makers.
  • Other info: Dynamic team environment with opportunities for career growth.
  • Why this job: Make an impact in the energy sector while developing your analytical skills.
  • Qualifications: Recent graduates with a passion for data and trading.

The predicted salary is between 25000 - 32000 Β£ per year.

Glencore in London invites applications for its Analytics Graduate Programme 2027.

This role provides exposure to energy commodities trading and hands-on experience with data-driven insights.

Recent graduates will work with a dynamic trading analyst team to support traders and learn how market data informs commercial decisions.

The programme combines structured development with real responsibility, including modeling supply and demand, tracking oil movements, and communicating results to senior

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London Energy Analytics Graduate Programme employer: Glencore

Glencore is an exceptional employer for graduates seeking to launch their careers in the dynamic world of energy commodities trading. Our London office offers a vibrant work culture that fosters innovation and collaboration, providing ample opportunities for professional growth and development. With a commitment to nurturing talent and a focus on entrepreneurial spirit, we empower our employees to make impactful contributions while enjoying the benefits of working within a global leader in natural resources.

Glencore

Contact Details:

Glencore Recruitment Team

We think you need these skills to ace London Energy Analytics Graduate Programme

Communication Skills
Problem-Solving Skills
SQL
Attention to Detail
Python
Automation
Data Engineering