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- Tasks: Develop and trade quantitative strategies in global commodity markets.
- Company: Join a leading prop trading firm focused on commodities.
- Benefits: Enjoy a collaborative environment with top-tier professionals and potential for remote work.
- Why this job: Make an impact by analysing data and optimising trading strategies in a dynamic market.
- Qualifications: 3+ years in quant trading, strong coding skills, and an advanced degree in a quantitative field.
- Other info: Ideal for those passionate about markets and data-driven decision making.
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!
Commodity Trader employer: Alexander Chapman
Contact Detail:
Alexander Chapman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodity Trader
✨Tip Number 1
Network with professionals in the commodities trading space. Attend industry conferences, webinars, or local meetups to connect with traders and quants who can provide insights and potentially refer you to opportunities at firms like ours.
✨Tip Number 2
Stay updated on market trends and news related to commodities. Follow relevant publications and online platforms to understand current events that could impact trading strategies, showcasing your knowledge during interviews.
✨Tip Number 3
Engage in online communities or forums focused on quantitative trading. Sharing your insights and learning from others can help you build a reputation in the field and may lead to job referrals.
✨Tip Number 4
Consider working on personal projects that demonstrate your coding skills and understanding of statistical modelling. Create a portfolio showcasing your quantitative strategies and analyses to impress potential employers.
We think you need these skills to ace Commodity Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative trading, especially in commodities. Emphasise your coding skills in Python or C++, and any relevant statistical modelling expertise.
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 how you can contribute to the team.
Showcase Your Analytical Skills: Include examples of how you've analysed large datasets to uncover alpha and inefficiencies. This could be through past projects or roles where you successfully optimised trading strategies.
Highlight Team Collaboration: Mention any experiences where you've collaborated with quants, engineers, or risk experts. This shows that you can work well in a team environment, which is crucial for this role.
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 or 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 in teams. Think of examples where you worked with quants, engineers, or risk experts, and how effective communication contributed to the success of your projects.
