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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 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: Passion for markets and data is essential; ready to take your career to the next level?
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
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.
✨Tip Number 2
Stay updated on market trends and news related to commodities. Follow relevant publications and join online forums to engage in discussions, which can help you demonstrate your knowledge and passion during interviews.
✨Tip Number 3
Showcase your coding skills by working on personal projects or contributing to open-source initiatives. This not only enhances your portfolio but also demonstrates your ability to develop systematic trading strategies.
✨Tip Number 4
Prepare for technical interviews by practising quantitative problems and coding challenges. 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 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Commodity Trader. Familiarise yourself with systematic trading strategies and the specific commodities mentioned in the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 3+ years of experience in quant trading or research, particularly in commodities. Provide specific examples of successful strategies you've developed or implemented.
Showcase Your Skills: Make sure to highlight your coding skills in Python or C++. Include any relevant projects or experiences that demonstrate your proficiency in statistical modelling and data analysis.
Craft a Compelling Cover Letter: Write a tailored cover letter that expresses your passion for markets and data. Discuss how your background aligns with the company's goals and how you can contribute to their team of quants and engineers.
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 walk through a case study or a past experience where your data analysis led to successful trading outcomes.
✨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 previous roles, and what tools or methodologies you used to ensure success.
✨Collaborate and Communicate Effectively
Since collaboration is key in this role, prepare to discuss how you work within a team of quants, engineers, and risk experts. Share examples of how you've successfully collaborated on projects, and emphasise your communication skills, especially when explaining complex concepts to non-technical team members.
