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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 a real 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 for success.
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: JobFlurry
Contact Detail:
JobFlurry 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 quants and traders who can provide insights and potentially refer you to opportunities at firms like ours.
✨Tip Number 2
Stay updated on market trends and developments in the commodities sector. Follow relevant news sources, subscribe to industry reports, and engage in discussions on platforms like LinkedIn to demonstrate your passion and knowledge during interviews.
✨Tip Number 3
Showcase your coding skills by working on personal projects or contributing to open-source initiatives related to quantitative trading. This not only enhances your portfolio but also demonstrates your ability to apply your technical skills in real-world scenarios.
✨Tip Number 4
Prepare for technical interviews by practising common quant trading problems and case studies. Familiarise yourself with statistical modelling techniques and be ready to discuss how you've applied them in past roles or projects.
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 projects where you've developed or implemented trading strategies, and how they relate to the role you're applying for.
Showcase Your Analytical Skills: Include examples of how you've analysed large datasets to uncover alpha or inefficiencies in previous roles. This will demonstrate your ability to perform the key tasks outlined in the job description.
Highlight Team Collaboration: Mention any experiences where you've collaborated with teams of 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 JobFlurry
✨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. Discuss any statistical models you've used and how they contributed to your trading success.
✨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've managed each phase in your previous roles and the outcomes of your strategies.
✨Collaborate and Communicate Effectively
Since you'll be working with a team of quants, engineers, and risk experts, emphasise your collaboration skills. Share examples of how you've worked in teams to solve complex problems and how you communicate technical concepts to non-technical stakeholders.
