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- Tasks: Own and optimise real-time trading systems using Python for peak performance.
- Company: Leading trading technology firm with a focus on innovation.
- Benefits: Negotiable salary, performance bonuses, and mostly remote work.
- Why this job: Join a dynamic team and make an impact in the fast-paced trading world.
- Qualifications: 5+ years of Python experience and expertise in low-latency systems.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A prominent trading technology firm is searching for a Senior Software Engineer (Python) specializing in trading systems. The role demands ownership of a production system, focusing on real-time market data and performance-driven engineering.
Ideal applicants will have over 5 years of Python experience, along with a background in building low-latency systems.
The position offers negotiable salary and performance-related bonuses, with mostly remote work and occasional in-office collaboration.
Senior Real-Time Python Engineer – Trading Systems (Remote) in Leeds employer: Beamost Ltd
Contact Detail:
Beamost Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Real-Time Python Engineer – Trading Systems (Remote) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks 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! If you’ve got a GitHub or portfolio showcasing your Python projects, make sure to highlight them during interviews. Real-time systems and low-latency projects? Even better!
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and system design. We all know that trading systems require quick thinking, so practice coding challenges to sharpen those skills.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Real-Time Python Engineer – Trading Systems (Remote) in Leeds
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your extensive Python experience in your application. We want to see how you've used Python in real-time systems, so share specific projects or challenges you've tackled that showcase your expertise.
Demonstrate Your Trading Knowledge: Since this role is all about trading systems, it’s crucial to show us you understand the trading landscape. Mention any relevant experience with market data or low-latency systems to make your application stand out.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 makes the process smoother for both of us!
How to prepare for a job interview at Beamost Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of real-time systems. Be prepared to discuss your past projects and how you've optimised performance in low-latency environments.
✨Understand Trading Systems
Familiarise yourself with trading systems and market data flows. Knowing how these systems operate will help you answer technical questions and demonstrate your expertise in the field.
✨Prepare for Problem-Solving Questions
Expect to tackle some coding challenges during the interview. Practice solving problems related to real-time data processing and low-latency algorithms to showcase your engineering skills.
✨Showcase Your Ownership Experience
Since the role involves ownership of a production system, be ready to share examples of how you've taken charge of projects in the past. Highlight your decision-making process and how you ensured system reliability and performance.
