Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and trade quantitative strategies in global commodity markets.
- Company: Join a leading prop trading firm focused on commodities.
- Benefits: Collaborate with top experts and work in a dynamic environment.
- Why this job: Make an impact by analysing data and optimising trading strategies.
- Qualifications: 3+ years in quant trading, strong coding skills, advanced degree required.
- Other info: Passion for markets and data is essential.
The predicted salary is between 43200 - 72000 £ per year.
We are partnering with a leading prop trading firm in the commodities space, seeking a Quantitative Commodity Trader to develop and implement systematic trading strategies across energy, metals, gas, or related commodity markets.
What You’ll Do:
- Develop and trade quantitative strategies across global commodity markets.
- Analyze large datasets to uncover alpha and inefficiencies.
- Own the full strategy lifecycle: research, backtest, execution, and performance optimization.
- Collaborate with a world-class team of quants, engineers, and risk experts.
What We’re Looking For:
- 3+ years in quant trading or research (commodities preferred).
- Strong coding skills (Python/C++); deep understanding of statistical modeling.
- Advanced degree in a quantitative field.
- Passion for markets, data, and building scalable systems.
Ready to make an impact? Apply now!
Contact Detail:
Alexander Chapman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodity Trader
✨Tip Number 1
Familiarise yourself with the latest trends in commodity trading, especially in energy and metals. This will not only help you understand the market better but also give you insights that you can discuss during interviews.
✨Tip Number 2
Brush up on your coding skills, particularly in Python and C++. Consider working on personal projects or contributing to open-source projects that involve quantitative trading strategies to showcase your abilities.
✨Tip Number 3
Network with professionals in the commodities trading space. Attend industry conferences, webinars, or local meetups to connect with quants and traders who can provide valuable insights and potentially refer you to opportunities.
✨Tip Number 4
Prepare to discuss your experience with data analysis and statistical modelling in detail. Be ready to share specific examples of how you've uncovered alpha or optimised trading strategies in your previous roles.
We think you need these skills to ace Commodity Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative trading, especially in commodities. Emphasise your coding skills in Python or C++, and any advanced degrees in quantitative fields.
Craft a Strong Cover Letter: In your cover letter, express your passion for markets and data. Discuss specific examples of how you've developed and implemented trading strategies, and mention your experience with statistical modelling.
Showcase Your Analytical Skills: When detailing your previous roles, focus on your ability to analyse large datasets. Provide examples of how your analysis has led to uncovering alpha or inefficiencies in the market.
Highlight Team Collaboration: Since the role involves collaboration with quants, engineers, and risk experts, mention any past experiences where you successfully worked in a team environment to achieve common goals.
How to prepare for a job interview at Alexander Chapman
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in quantitative trading and research. Highlight specific projects where you've developed and implemented trading strategies, especially in commodities. Use examples that demonstrate your strong coding skills in Python or C++.
✨Demonstrate Data Analysis Expertise
Expect questions about how you analyse large datasets. Prepare to explain your approach to uncovering alpha and inefficiencies in the market. You might be asked to solve a problem on the spot, so brush up on your statistical modelling techniques.
✨Understand the Full Strategy Lifecycle
Familiarise yourself with the entire lifecycle of a trading strategy, from research to execution and performance optimisation. Be ready to discuss how you have owned this process in previous roles and any challenges you faced along the way.
✨Collaborate and Communicate
Since collaboration is key in this role, prepare to talk about your experience working with teams of quants, engineers, and risk experts. Highlight your communication skills and how you ensure everyone is aligned on strategy and goals.
