At a Glance
- Tasks: Provide practical solutions to complex problems on the trading floor using maths and coding.
- Company: Join Glencore, a leading global natural resource company with a diverse portfolio.
- Benefits: Accelerate your career with hands-on experience and a dynamic work environment.
- Other info: Thriving team culture with opportunities for growth and innovation.
- Why this job: Make an impact in energy commodities trading while developing your analytical skills.
- Qualifications: Recent graduates with a 2.1 in Maths, Computer Science, or Engineering are encouraged to apply.
The predicted salary is between 30000 - 40000 £ per year.
Role Overview
The fast‑paced nature of the trading floor means no two days as a graduate analyst will be the same.
You will be consistently called upon to provide practical solutions to complex problems using your mathematical aptitude and coding capabilities.
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.
Responsibilities
- Use appropriate techniques and principles to conduct pre‑trade and post‑trade analysis.
- Model fundamental supply, demand balance and trade flow of the products traded.
- Track global oil movements through vessel tracking and assess how this impacts pricing of physical cargoes.
- Sit on the trading floor and develop models (with traders and independently) to improve forecast of fundamental and price data.
- Analyze 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.
Qualifications
- Recent graduate with an excellent track record of individual achievement, interested in a challenging, exciting career in the commodities sector.
- Entrepreneurial approach, deeply analytical mindset, and capability to solve complex problems using a wide range of numerical and technical skills.
- Commercial awareness, adaptability, resilience; thrive in team environments and take initiative independently.
- Completion of a Bachelor's degree to a 2.1 standard or above in Mathematics, Computer Science, Engineering or a similar discipline.
- Recent graduates and those predicted to graduate with a 2.1 or above in 2027 are welcome to apply.
- Demonstrated interest in the commodities sector, shown through relevant experience in the Energy or Oil industries.
- Highly numerate, with good problem‑solving and analytical skills.
- Proficient in Microsoft Excel and experienced in quantitative data analysis (via coursework, extracurricular activities, or work experience).
- Desirable coding skills: VBA, Python, or SQL.
- Entrepreneurially minded and adaptable; capable of working with significant autonomy and ensuring analysis delivers practical business benefits.
- Logical and confident problem solver with the ability to communicate solutions clearly to a wide range of audiences.
- Excellent verbal and written communication skills.
- Highly motivated and organized, able to work under pressure and meet tight deadlines.
- Ability to build relationships, work in and influence a team.
- About Glencore
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.
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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. With a vibrant work culture in our London office, we offer unparalleled opportunities for professional growth, mentorship from industry leaders, and the chance to engage directly on the trading floor. Our commitment to innovation and entrepreneurial spirit empowers employees to make meaningful contributions while enjoying a collaborative environment that values diverse perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Graduate Programme
✨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.
✨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, 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.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Glencore, 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
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 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 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
✨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 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’s culture and workflow.
