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- Tasks: Develop and improve algorithms for commodities trading, working closely with traders.
- 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 in trading by turning ideas into powerful tools.
- Qualifications: Strong quantitative background; experience in commodities is a plus but not essential.
- Other info: Join a small, dynamic team where collaboration drives success.
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.
If this is of interest, please apply or reach out via email: No up-to-date CV required.
Quant Developer - Commodities trading in Slough employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Commodities trading in Slough
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got any projects or models you’ve worked on, be ready to discuss them in detail. Real-world examples can really impress during interviews.
✨Tip Number 3
Prepare for technical questions! Brush up on your Python and quantitative skills. You might be asked to solve problems on the spot, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Quant Developer - Commodities trading in Slough
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!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with commodities or any relevant markets background. We love seeing how you connect your skills to what we do here at StudySmarter.
Keep It Conversational: Since we’re all about collaboration, let your personality shine through in your written application. Write as if you’re having a chat with us – it helps us get to know you better and see if you’d fit right in with our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be good to go!
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 will help you connect better during the interview. Show that you can translate trader requirements into effective tools.
✨Showcase Your Technical Skills
While Python is key, don’t forget to mention any experience with SQL, Clickhouse, or Azure. Even if you’re not an expert, demonstrating a willingness to learn and adapt will impress the interviewers. Bring examples of projects where you’ve used these technologies.
✨Emphasise Collaboration
Since the team is small and collaborative, highlight your teamwork experiences. Share examples of how you’ve worked closely with others, particularly in high-pressure situations, to solve problems. This will show you’re a good fit for their culture.
