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- Tasks: Develop high-performance trading systems in Python and collaborate with Traders.
- Company: Global trading firm based in London, focused on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and make an impact in the trading world.
- Qualifications: Extensive software engineering experience, especially with Pandas and Numpy.
- Other info: Exciting opportunity to work with containerization technologies in a fast-paced setting.
The predicted salary is between 48000 - 72000 £ per year.
A global trading firm is seeking a Front Office Python Developer to join their team in London. This role involves partnering with Traders to develop high-performance trading systems using Python. Candidates should have extensive experience in Software Engineering, particularly with tools like Pandas and Numpy, and familiarity with containerization technologies. This is a unique opportunity to contribute to innovative trading solutions in a dynamic environment.
Front Office Python Engineer for Trading Systems employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Python Engineer for Trading Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech scene on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some cool Python projects, especially those using Pandas and Numpy. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to solve problems on the spot. Practising with mock interviews can really help us nail it.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over others.
We think you need these skills to ace Front Office Python Engineer for Trading Systems
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world scenarios, especially in trading systems or similar environments.
Talk About Your Software Engineering Experience: Don’t hold back on detailing your software engineering background. We’re looking for candidates who can demonstrate their expertise with tools like Pandas and Numpy, so give us the juicy details!
Containerization is Key: If you’ve got experience with containerization technologies, make sure to mention it! This is a big plus for us, and we’d love to know how you’ve applied these skills in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Orbis Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like Pandas and Numpy. Be prepared to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Understand Trading Systems
Familiarise yourself with the basics of trading systems and how they operate. This will help you speak knowledgeably about the role and demonstrate your interest in the field. Consider reading up on recent trends in trading technology to impress your interviewers.
✨Showcase Your Software Engineering Experience
Be ready to discuss your previous software engineering roles in detail. Highlight specific projects where you developed high-performance applications, and be prepared to explain your thought process and the technologies you used.
✨Get Comfortable with Containerization
Since familiarity with containerization technologies is a must, make sure you can talk about your experience with tools like Docker or Kubernetes. If you’ve worked on deploying applications in containers, share those experiences to show your practical knowledge.