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- Tasks: Build core analytics and data systems for real-time trading.
- Company: Leading commodities trading firm in Greater London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a team that shapes trading decisions with cutting-edge technology.
- Qualifications: Strong Python skills, AWS experience, and interest in data-driven solutions.
- Other info: Collaborate with traders and data scientists in an innovative setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading commodities trading firm in Greater London is looking for a talented developer to build core analytics and data systems. You will collaborate with traders and data scientists, designing Python and AWS platforms that facilitate real-time pricing and trading decisions.
The ideal candidate will have strong skills in Python, solid AWS experience, and a keen interest in data-driven solutions for trading. Financial or commodities sector experience is a plus.
Real-Time Trading Systems Engineer employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Trading Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities trading scene on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any AWS work you've done. We love seeing real examples of what you can do, especially if they relate to trading systems.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’d tackle real-time data challenges. We want to see your problem-solving skills in action!
✨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. We’re excited to see what you bring to the table!
We think you need these skills to ace Real-Time Trading Systems Engineer
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world scenarios, especially if it's related to trading or data systems.
AWS Experience is Key: If you've got solid experience with AWS, flaunt it! Detail any projects where you've built or managed systems on AWS, as this will really catch our eye.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love seeing applications that are tailored to the role. Mention how your skills align with our needs in real-time trading systems.
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!
How to prepare for a job interview at Saragossa
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve real-world problems, especially in trading or data analytics.
✨Familiarise Yourself with AWS
Since AWS is a key part of the role, take some time to understand its services relevant to data systems. Be prepared to talk about how you've implemented AWS solutions in past projects and how they can enhance trading systems.
✨Understand the Trading Landscape
Even if you don't have direct experience in the commodities sector, show that you’ve done your homework. Familiarise yourself with current trends in trading and how data-driven decisions are made in this field.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges related to real-time data processing and analytics, as these will likely come up during the interview.
