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For Companies At a Glance
- Tasks: Develop and implement systematic trading strategies in global commodity markets.
- Company: Join a leading prop trading firm focused on commodities.
- Benefits: Collaborate with top experts and enjoy a dynamic work environment.
- Why this job: Make an impact by analysing data and optimising trading strategies.
- Qualifications: 3+ years in quant trading, strong coding skills, and an 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 and technologies in quantitative trading, especially in commodities. This will not only help you understand the market better but also demonstrate your passion and commitment during interviews.
✨Tip Number 2
Network with professionals in the commodities trading space. Attend industry conferences, webinars, or local meetups to connect with quants and traders. Building relationships can often lead to job opportunities that aren't publicly advertised.
✨Tip Number 3
Showcase your coding skills by working on personal projects or contributing to open-source initiatives related to trading strategies. Having a portfolio of your work can set you apart from other candidates and provide concrete examples of your abilities.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges relevant to quantitative trading. Familiarise yourself with statistical modelling concepts and be ready to discuss how you've applied them in past experiences.
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 Compelling Cover Letter: In your cover letter, express your passion for the commodities market and your desire to develop systematic trading strategies. Mention specific projects or experiences that demonstrate your ability to analyse large datasets and optimise trading performance.
Showcase Relevant Projects: If you have worked on any quantitative trading projects, include them in your application. Detail your role, the strategies you developed, and the outcomes achieved. This will help illustrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working with a team of quants, engineers, and risk experts, mention any collaborative projects you've been part of. Highlight how you contributed to team success and what you learned from those experiences.
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 and backtesting to execution and performance optimisation. Be ready to discuss how you have managed these phases in your previous roles, as this will show your comprehensive understanding of the trading process.
✨Collaborate and Communicate Effectively
Since collaboration is key in this role, prepare to talk about your experiences working in teams. Highlight instances where you’ve worked with quants, engineers, or risk experts, and how effective communication contributed to successful outcomes.
