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- Tasks: Develop and implement trading 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 remote work options.
- Why this job: Make a real 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: Passion for markets and data is essential; be part of a world-class team!
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
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
Brush up on your coding skills, particularly in Python and C++. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to develop systematic trading strategies.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and statistical modelling questions. Being able to demonstrate your analytical skills and thought process will set you apart from other candidates.
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 markets and data. Discuss specific examples of how you've developed and implemented trading strategies, and how you’ve collaborated with teams in the past.
Showcase Your Analytical Skills: Include examples of how you've analysed large datasets to uncover alpha and inefficiencies. This could be through projects, previous roles, or academic work that demonstrates your analytical capabilities.
Highlight Relevant Education: Mention your advanced degree in a quantitative field prominently. If you have completed any relevant coursework or projects, include those details to strengthen your application.
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 managed these phases in past roles, and what tools or methodologies you used.
✨Collaborate and Communicate
Since collaboration is key in this role, prepare to talk about your experience working in teams. Share examples of how you've worked with quants, engineers, or risk experts to achieve common goals. Good communication skills can set you apart.
