At a Glance
- Tasks: Develop and improve algorithms for commodities trading with direct trader interaction.
- Company: Leading energy trading business with a collaborative and innovative culture.
- Benefits: Flexible work environment, hands-on experience, and opportunities to shape real trading decisions.
- Why this job: Make a tangible impact on trading strategies while working with a dynamic team.
- Qualifications: Strong quantitative background; experience in commodities is a plus but not essential.
- Other info: No up-to-date CV required; just bring your passion for maths and modelling!
The predicted salary is between 36000 - 60000 £ per year.
Are you a quant developer who enjoys working directly with traders and shaping real models? Here you’ll join a leading energy trading business, where technical teams work closely with the desk and have a clear impact on how day-to-day decisions get made. You’ll get to build and improve the algorithms themselves, make sure data flows, and deploy models into production.
You will have interaction with traders and analysts on a daily basis, understanding what they need and turning those requirements into tools. The team is small, genuinely collaborative, where quants, developers and traders sit together and solve problems in real time.
This role is a mix of maths, modelling and engineering - taking forecasting and optimisation ideas and turning them into tools that shape how the desk trades European power. The stack is mainly Python. SQL, Clickhouse or Azure are nice to know but not essential. What matters is a strong quantitative background and experience in commodities being ideal, but anyone from a wider markets background will feel at home.
Quant Developer - Commodities trading in London employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Commodities trading in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the role and might even lead to a referral!
✨Tip Number 2
Show off your skills! If you’ve got any personal projects or relevant experience, be ready to discuss them in detail. We want to see how you think and solve problems, especially with Python and modelling.
✨Tip Number 3
Prepare for technical discussions! Brush up on your quantitative skills and be ready to tackle some real-world problems. We love seeing how you approach challenges, especially in commodities trading.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate quants who want to make an impact!
We think you need these skills to ace Quant Developer - Commodities trading in London
Some tips for your application 🫡
Show Your Quant Skills: Make sure to highlight your quantitative background in your application. We want to see how your maths and modelling skills can contribute to our team, so don’t hold back on showcasing relevant projects or experiences!
Connect with Traders: Since this role involves working closely with traders, it’s a good idea to mention any experience you have in collaborating with trading teams. We love seeing candidates who understand the trading environment and can translate trader needs into effective tools.
Keep It Relevant: Tailor your application to focus on your experience with commodities or similar markets. Even if you come from a wider markets background, let us know how your skills can be applied to the energy trading space.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role without any hassle!
How to prepare for a job interview at Saragossa
✨Know Your Maths and Modelling
Brush up on your quantitative skills and be ready to discuss how you've applied maths and modelling in previous roles. Be prepared to explain your thought process when developing algorithms and how you approach problem-solving.
✨Understand the Trading Environment
Familiarise yourself with commodities trading, especially European power. Knowing the basics of how traders operate and what they need from a quant developer will help you connect better during the interview.
✨Showcase Your Technical Skills
Even if Python is your main language, don’t shy away from discussing any experience with SQL, Clickhouse, or Azure. Highlight specific projects where you’ve built or improved algorithms, and be ready to dive into technical details.
✨Emphasise Collaboration
Since the team is small and collaborative, share examples of how you've worked closely with others, particularly traders or analysts. Discuss how you’ve turned their requirements into effective tools, showcasing your ability to communicate and work as part of a team.