At a Glance
- Tasks: Enhance trading technology by developing high-performance systems and tools in Python.
- Company: Global trading firm at the forefront of technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of an innovative environment with exciting career prospects.
- Why this job: Join a dynamic team and make a real impact on trading decisions.
- Qualifications: Strong Python skills and experience in software engineering and containerisation.
The predicted salary is between 60000 - 80000 £ per year.
A global Trading firm is seeking a Front Office Developer skilled in Python to enhance trading technology. In this role, you will collaborate directly with Traders to create high-performance systems and tools that improve decision-making in trading. Ideal candidates will have significant experience in software engineering and containerisation technologies. This is a unique opportunity to be at the cutting edge of technology in trading.
Front Office Python Trading Engineer – Real-Time Systems employer: Orbis Group
Orbis Group is an exceptional employer, offering a dynamic work environment where innovation meets security in the fast-paced trading sector. With a strong emphasis on employee growth and collaboration, you will have the opportunity to shape cutting-edge security strategies while working closely with senior leadership. Our culture fosters creativity and technical excellence, making it an ideal place for professionals eager to make a meaningful impact in cyber security.
StudySmarter Expert Advice🤫
We think this is how you could land Front Office Python Trading Engineer – Real-Time Systems
✨Tip Number 1
Network like a pro! Reach out to people in the trading tech space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading systems. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding real-time systems. Practice common algorithms and data structures that are relevant to trading applications.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a better chance of being noticed by hiring managers.
We think you need these skills to ace Front Office Python Trading Engineer – Real-Time 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-time systems or trading tech, so don’t hold back on the details!
Talk About Collaboration:Since you'll be working closely with Traders, it's important to showcase any past experiences where you collaborated with non-technical teams. We love seeing how you can bridge the gap between tech and trading!
Containerisation is Key:If you've got experience with containerisation technologies, make sure to mention it! We’re keen on candidates who can demonstrate their understanding of these tools and how they can enhance 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 don’t miss out on any updates from our team!
How to prepare for a job interview at Orbis Group
✨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 finance.
✨Understand Trading Concepts
Familiarise yourself with basic trading concepts and terminology. Being able to speak the language of traders will show that you can effectively collaborate with them and understand their needs.
✨Showcase Your Containerisation Knowledge
Since containerisation technologies are key for this role, be prepared to discuss your experience with tools like Docker or Kubernetes. Highlight any projects where you've implemented these technologies to improve system performance.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be ready to demonstrate your problem-solving skills in a high-pressure environment.
