Analytics Graduate Programme 2027 in London

Glencore is a leading global diversified natural resource company, producing and marketing over 60 commodities. With a workforce of over 140,000 across more than 30 countries, Glencore is committed to advancing everyday life through its extensive network of assets, customers, and suppliers.

The Analytics Graduate Programme is designed for recent graduates who are eager to kickstart their careers in the fast-paced environment of energy commodities trading. This program combines structured professional development with hands-on experience, allowing successful candidates to engage directly with commercial teams and take on significant responsibilities from the outset.

Your Role

As a graduate analyst, you will be part of a dynamic trading analyst team that collaborates closely with traders to provide data-driven insights into energy commodities markets. Your responsibilities will include:

• Conducting pre-trade and post-trade analysis using appropriate techniques and principles.
• Modeling the fundamental supply and demand balance and trade flow of energy commodities.
• Tracking global oil movements through vessel tracking and assessing their impact on pricing for physical cargoes.
• Working on the trading floor to develop models that improve the forecasting of fundamental and price data, both collaboratively with traders and independently.
• Analyzing collected information to identify market anomalies that could lead to trading opportunities.
• Effectively communicating results to traders and senior management.
• Using initiative and entrepreneurial thinking to generate additional value.

Who We Look For

We seek recent graduates with a strong academic record who are interested in a challenging career in the commodities sector. Ideal candidates will possess:

• A Bachelor’s degree at a 2.1 standard or above in Mathematics, Computer Science, Engineering, or a related field.
• A demonstrated interest in the commodities sector, particularly in the Energy or Oil industries, through relevant experience.
• Strong numerical skills and the ability to solve complex problems using a variety of analytical techniques.
• Proficiency in Microsoft Excel and experience in quantitative data analysis.
• Desirable coding skills in languages such as VBA, Python, or SQL.
• An entrepreneurial mindset and adaptability to work independently while focusing on practical business benefits.
• Excellent verbal and communication skills, with the ability to convey solutions clearly to diverse audiences.
• Strong motivation and organizational skills, with the ability to work under pressure and meet tight deadlines.
• Capability to build relationships and influence team dynamics.

Applications for this role will close on October 9, 2026. Candidates must have the right to work in the UK by the start of the placement. Applications will be reviewed on a rolling basis, so early submission is encouraged.