At a Glance
- Tasks: Provide data-driven insights and solutions on the trading floor for energy commodities.
- Company: Join Glencore, a leading global natural resource company with a diverse portfolio.
- Benefits: Gain hands-on experience, professional development, and a competitive salary.
- Other info: Dynamic role with opportunities for growth and innovation in the commodities sector.
- Why this job: Shape market strategies and drive results in a fast-paced trading environment.
- Qualifications: Recent graduates with a 2.1 in Maths, Computer Science, or Engineering; coding skills preferred.
The predicted salary is between 28000 - 35000 £ 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. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that advance everyday life. With over 140,000 employees and contractors and a strong footprint in over 30 countries in both established and emerging regions for natural resources, our marketing and industrial activities are supported by a global network of offices.
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.
The Analytics Graduate Programme involves working 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 will shape traders’ understanding of market dynamics and work cross-functionally with the shipping and technology teams, developing tools to drive results across the business.
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
- Analysing the information collected and highlighting anomalies in the market that could lead to trading opportunities
- Communicating results effectively with traders and senior management
- Generating 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 Analytics Graduate 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 2027 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
- Proficiency in computer programmes like Microsoft Excel, and experience conducting quantitative data analysis
- Ability to code in one of the following languages is desirable (VBA, Python, SQL)
- Entrepreneurially minded and adaptable
- 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
- 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 9, 2026, and the successful candidate must have the right to work in the UK by the start of the placement. Applications will be reviewed on a rolling basis, so an earlier application may lead to an earlier decision.
Analytics Graduate Programme in London employer: Glencore UK
At Glencore, we pride ourselves on being an exceptional employer, offering a dynamic work environment in our London office that fosters professional growth and innovation. Our Analytics Graduate Programme provides graduates with unparalleled exposure to the commodities trading sector, empowering them to take on significant responsibilities from day one while benefiting from structured development and mentorship. With a strong emphasis on collaboration and entrepreneurial spirit, we cultivate a culture where analytical minds can thrive and make impactful contributions to our global operations.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Graduate Programme in London
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Glencore UK.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Glencore UK, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Glencore UK.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Glencore UK, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Analytics Graduate Programme in London
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Glencore UK can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Glencore UK and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Glencore UK
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Glencore UK that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Glencore UK’s culture and workflow.