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- Tasks: Analyse commodities data and support trading strategies using Python.
- Company: Leading quantitative hedge fund with a strong track record in systematic investing.
- Benefits: Gain exposure to trading lifecycle and opportunities for career progression.
- Other info: Collaborative, fast-paced environment with global connections.
- Why this job: Join a high-calibre team and make a real impact in a growing commodities platform.
- Qualifications: 0-3 years in commodities, strong Python skills, and a degree from a top-tier university.
The predicted salary is between 50000 - 70000 £ per year.
My client is a leading quantitative hedge fund that is actively expanding its commodities platform across a broad range of products. The firm has a strong track record in systematic investing and is now building out its commodities business across both quantitative and fundamental strategies. This is an opportunity for a Commodities Trading Analyst to join a high-calibre team at an early stage of growth, offering significant exposure and the chance to contribute directly to the growth of the platform.
Key responsibilities
- Sitting within a collaborative, high-performing team, working at the intersection of data, modelling, and market fundamentals.
- Supporting the development of fundamental supply and demand models across commodity markets.
- Conducting quantitative analysis using Python to support trading strategies.
- Building and enhancing analytical tools, datasets, and research processes.
- Producing ad-hoc analysis in response to evolving market conditions and trade ideas.
- Monitoring and improving live strategies.
- Working closely with traders and senior researchers on strategy development.
You will also gain exposure to the full trading lifecycle, including intraday analysis and longer-term model development.
Requirements
- 0–3 years’ experience in commodities (internship or full-time).
- Degree (BSc and/or MSc) from a top-tier university, ideally in a STEM discipline (e.g. Mathematics, Statistics, Engineering, Econometrics, Applied Economics).
- Strong Python programming skills (essential); familiarity with Excel is a plus.
- Prior experience analysing and modelling data.
- Demonstrated interest in commodities markets and investing.
- Strong written and verbal communication skills, with the ability to synthesise complex information clearly.
- Proactive mindset with a willingness to take ownership of a wide range of tasks.
- Comfortable working in a collaborative, fast-paced, and globally integrated environment.
Why Apply?
- Join a top-tier quant hedge fund expanding into commodities.
- Work in a highly collaborative, globally connected team.
- Gain exposure to both systematic and fundamental investment approaches.
- Be part of a growing platform with real opportunity for progression and impact.
- Contribute to building market-leading models and analytics capabilities.
Commodities Trading Analyst in London employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodities Trading Analyst in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the commodities trading space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any quantitative analysis you've done. This is your chance to demonstrate your analytical prowess and passion for commodities.
✨Tip Number 3
Prepare for interviews by brushing up on market fundamentals and current trends in commodities. We recommend having a few insights ready to share, as this shows your genuine interest and knowledge in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Commodities Trading Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Commodities Trading Analyst role. Highlight your relevant experience, especially any internships or projects related to commodities, data analysis, and Python programming. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for commodities markets and investing. Share specific examples of your analytical skills and how they can contribute to our team. Remember, we love a proactive mindset!
Showcase Your Python Skills: Since strong Python programming skills are essential for this role, make sure to highlight any relevant projects or experiences where you've used Python for quantitative analysis. If you’ve built any analytical tools or models, don’t hesitate to mention them!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application directly and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Commodities
Make sure you brush up on your knowledge of commodities markets. Understand the key drivers of supply and demand, and be ready to discuss recent trends or news that could impact these markets. This shows your genuine interest and helps you stand out.
✨Show Off Your Python Skills
Since strong Python programming skills are essential for this role, prepare to discuss your experience with it. Bring examples of projects or analyses you've done using Python, and be ready to solve a coding problem during the interview to demonstrate your proficiency.
✨Communicate Clearly
You’ll need to synthesise complex information clearly, so practice explaining your past experiences and technical concepts in simple terms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and keep them concise.
✨Be Proactive and Engaged
Demonstrate your proactive mindset by asking insightful questions about the team’s current projects and challenges. Show enthusiasm for taking ownership of tasks and contributing to the growth of the commodities platform. This will highlight your collaborative spirit and readiness to jump in.