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For Companies At a Glance
- Tasks: Develop Python tools and data pipelines for commodities trading insights.
- Company: Global systematic trading firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and turn data into impactful trading strategies.
- Qualifications: 5+ years in software development, strong Python skills, and interest in commodities.
- Other info: Collaborative environment with a focus on cutting-edge technology and research.
The predicted salary is between 36000 - 60000 £ per year.
A global systematic trading firm is seeking a Quantitative Developer to support its commodities trading team. The role focuses on building and maintaining the technical infrastructure used to develop trading signals and analytical tools across energy, weather and metals markets. You will work closely with researchers and traders to turn data into actionable insights.
What You’ll Do
- Develop and maintain Python tools that support commodities research and systematic strategy development.
- Build data pipelines for large volumes of structured and unstructured commodities data (e.g., fundamentals, weather, shipping, market microstructure).
- Implement and optimize models, including time-series analysis, regression frameworks, and machine-learning techniques tailored to commodities behaviour.
- Work with researchers to translate domain-specific requirements, such as supply-demand modelling or curve dynamics, into robust technical solutions.
- Use high-performance or distributed computing environments to enable large-scale backtesting and simulation.
- Support and improve existing tools and systems across research, analytics, and trading functions.
What You Bring
- 5+ years of software development experience, ideally in quantitative, trading, or data-intensive environments.
- Strong programming skills in Python.
- Interest or experience in commodities markets (energy, metals, weather) and the unique data/modelling challenges within them.
- Familiarity with areas such as distributed computing, machine learning, platform engineering, or large-scale system design.
- Ability to work independently, collaborate with researchers, and contribute to technical decision-making.
Quant Developer - Commodities employer: Vertus Partners
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Commodities
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities trading space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects related to commodities. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning models. Practice common algorithms and be ready to discuss how they apply to commodities data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quant Developer - Commodities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development, especially in Python. We want to see how your skills align with the role, so don’t be shy about showcasing your work in quantitative or data-intensive environments.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about commodities markets and how your background makes you a great fit for our team. We love seeing enthusiasm and a clear connection to the role.
Showcase Relevant Projects: If you've worked on projects related to time-series analysis, machine learning, or building data pipelines, make sure to mention them. We’re keen to see how you’ve tackled challenges similar to those we face in the commodities space.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Vertus Partners
✨Know Your Python Inside Out
Since the role heavily relies on Python, make sure you brush up on your programming skills. Be prepared to discuss specific projects where you've developed tools or models using Python, and think about how you can relate those experiences to the commodities market.
✨Understand the Commodities Landscape
Familiarise yourself with the key concepts in energy, metals, and weather markets. Research recent trends and challenges in these areas, as this will help you engage in meaningful discussions with the interviewers and demonstrate your genuine interest in the field.
✨Showcase Your Problem-Solving Skills
Be ready to tackle technical questions or case studies during the interview. Think of examples where you've implemented or optimised models, especially those involving time-series analysis or machine learning. This will show that you can translate complex data into actionable insights.
✨Collaboration is Key
Highlight your ability to work independently but also emphasise your collaborative skills. Share examples of how you've worked with researchers or traders to develop technical solutions. This will demonstrate that you're not just a coder, but someone who can contribute to a team dynamic.
