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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.
- Other info: Join a small, dynamic team where collaboration is key and career growth is encouraged.
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 - Saragossa employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Commodities trading - Saragossa
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in commodities trading. A friendly chat can give you insider info and might just lead to a referral.
✨Tip Number 2
Show off your skills! If you’ve got any personal projects or GitHub repos showcasing your Python prowess, make sure to mention them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your quantitative skills and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident when it’s showtime.
✨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 take that extra step!
We think you need these skills to ace Quant Developer - Commodities trading - Saragossa
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 trading and how it aligns with what we do at StudySmarter. This shows us you’re genuinely interested and have done your homework!
Keep It Clear and Concise: When writing your application, clarity is key! We appreciate straightforward communication, so keep your sentences clear and to the point. This will help us understand your qualifications quickly and easily.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Jobster
✨Know Your Quant Basics
Brush up on your quantitative skills and be ready to discuss key concepts in maths and modelling. Since the role involves shaping real models, be prepared to explain how you’ve applied these skills in past projects or experiences.
✨Understand the Trading Environment
Familiarise yourself with commodities trading and the specific challenges traders face. This will help you engage in meaningful conversations during the interview and demonstrate that you can translate trader needs into effective tools.
✨Showcase Your Technical Skills
While Python is the main stack, don’t shy away from discussing any experience with SQL, Clickhouse, or Azure. Be ready to share examples of how you've built or improved algorithms, and how you ensure data flows smoothly in your projects.
✨Emphasise Collaboration
Since the team is small and collaborative, highlight your teamwork experiences. Share instances where you’ve worked closely with traders or analysts to solve problems in real time, showcasing your ability to communicate effectively and adapt to their needs.
