At a Glance
- Tasks: Join our trading analysts to provide data-driven insights and solve complex problems daily.
- Company: Glencore is a leading global natural resource company, producing over 60 commodities.
- Benefits: Enjoy professional development, hands-on experience, and a dynamic work environment in London.
- Why this job: Be part of a fast-paced team that shapes market strategies and drives innovation.
- Qualifications: Recent graduates with a 2.1 degree in Maths, Computer Science, or Engineering are encouraged to apply.
- Other info: Applications close on October 10, 2025, with rolling reviews for early applicants.
The predicted salary is between 28800 - 48000 £ per year.
Glencore is one of the world’s largest global diversified natural resource companies, and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that support decarbonisation while meeting the energy needs of today.
Based in our fast-paced London office, our programmes are designed to accelerate the careers of outstanding graduates who have a strong commercial outlook and a genuine interest in energy commodities trading. Our graduate roles combine structured, professional development with on-the-job experience – successful candidates will have direct exposure to the commercial teams and will be trusted to take on responsibility from day one.
Our team of trading analysts works directly with traders, guiding their commercial strategy by providing data-driven insights into energy commodities markets. The team evaluates fundamental global market supply and demand of commodities traded in the energy division. Successful candidates in this team will both shape traders’ understanding of market dynamics and work cross-functionally with the shipping and technology teams, developing tools to drive results across the business.
The fast-paced nature of the trading floor means no two days as a graduate analyst will be the same – however, you will be consistently called upon to provide practical solutions to complex problems using your mathematical aptitude and coding capabilities. Your core responsibilities will include:
- Using appropriate techniques and principles to conduct pre-trade and post-trade analysis
- Modelling of fundamental supply, demand balance and trade flow of the products traded
- Keeping track of global oil movements through vessel tracking, and assessing how this impacts pricing of physical cargoes
- Sitting on the trading floor, and developing models (with traders and independently) to improve forecast of fundamental and price data
- Analyse the information collected and highlight anomalies in the market that could lead to trading opportunities.
- Communicate results effectively with traders and senior management
- Generate additional value using initiative, commercial innovation and entrepreneurial flair
We look for recent graduates with an excellent track record of individual achievement – who are interested in a challenging, exciting career in the commodities sector. You should have an entrepreneurial approach, a deeply analytical mindset, and the capability to solve complex problems using a wide range of numerical and technical skills. Working at Glencore requires commercial awareness, adaptability and resilience – and you will need to thrive in team environments as well as take initiative independently.
To apply to our Graduate Analytics opportunity, you should show:
- Completion of a Bachelor’s degree to a 2.1 standard or above in Mathematics, Computer Science, Engineering or similar.
- Recent graduates and those predicted to graduate with a 2.1 or above in 2026 are welcome to apply.
- A demonstrated interest in our work in the commodities sector, shown through some relevant experience in the Energy or Oil industries.
- Highly numerate, with good problem-solving and analytical skills.
- You will be highly proficient in computer programmes like Microsoft Excel, and have experience conducting quantitative data analysis (whether through your course, extracurricular activities, or work experience).
- Ability to code in one of the following languages is desirable (VBA, Python, SQL).
- Entrepreneurially minded and adaptable.
- Must be capable of working with significant autonomy and ensuring analysis is focused on delivering practical business benefits.
- Logical and confident problem solver with the ability to communicate solutions clearly and for a wide range of audiences.
- Excellent verbal and communication skills.
- Highly motivated and organized, with the ability to work under pressure and meet tight deadlines.
- Ability to build relationships, work in and influence a team.
Applications will close on October 10, 2025. Applications will be reviewed on a rolling basis, so an earlier application may lead to an earlier decision.
Analytics Graduate Opportunity employer: Glencore UK
Contact Detail:
Glencore UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Graduate Opportunity
✨Tip Number 1
Familiarise yourself with the energy commodities market. Understanding current trends, key players, and recent developments will not only help you in interviews but also demonstrate your genuine interest in the sector.
✨Tip Number 2
Brush up on your coding skills, especially in Python or SQL. Being able to showcase your technical abilities during discussions can set you apart from other candidates and show that you're ready to contribute from day one.
✨Tip Number 3
Network with professionals in the commodities sector. Attend industry events or connect with Glencore employees on platforms like LinkedIn to gain insights and potentially get referrals for the graduate programme.
✨Tip Number 4
Prepare to discuss real-world applications of your analytical skills. Think of examples where you've solved complex problems or used data analysis to drive decisions, as this will resonate well with the role's requirements.
We think you need these skills to ace Analytics Graduate Opportunity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Analytics Graduate Programme. Emphasise your mathematical aptitude, coding capabilities, and any experience in the energy or commodities sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the commodities sector and your understanding of Glencore's role in it. Mention specific experiences that demonstrate your analytical mindset and problem-solving abilities.
Highlight Relevant Experience: If you have any internships, projects, or coursework related to data analysis, energy markets, or coding, make sure to include these in your application. This will show your genuine interest and preparedness for the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a fast-paced trading environment.
How to prepare for a job interview at Glencore UK
✨Show Your Analytical Skills
Prepare to discuss specific examples of how you've used your analytical skills in past experiences. Be ready to explain your thought process and the techniques you employed to solve complex problems, especially in relation to data analysis.
✨Demonstrate Your Coding Knowledge
Since coding is a desirable skill for this role, brush up on your knowledge of programming languages like Python or SQL. Be prepared to answer technical questions or even solve coding challenges during the interview.
✨Understand the Commodities Sector
Research Glencore and the commodities sector thoroughly. Familiarise yourself with current trends in energy trading and be ready to discuss how these trends could impact the business. Showing genuine interest will set you apart.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly and confidently. Since you'll need to communicate complex information to traders and senior management, focus on simplifying your explanations without losing the essence of your insights.