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- Tasks: Develop Python applications to enhance trading strategies and lead code reviews.
- Company: Dynamic company focused on innovation in real-time trading tech.
- Benefits: Competitive compensation and professional development opportunities.
- Other info: Exciting environment with opportunities for growth and collaboration.
- Why this job: Join a cutting-edge team and make an impact in the trading world.
- Qualifications: 5+ years in Python development with expertise in data pipelines and cloud architectures.
The predicted salary is between 70000 - 90000 £ per year.
Radley James is seeking a Senior Python Engineer to join their London team. In this role, you'll develop Python applications that enhance trading strategies and data analysis, work with quants and traders, and lead code reviews.
A minimum of 5 years in Python development is required, along with deep knowledge of data pipelines, cloud architectures, and high-performance systems.
Join a dynamic company focused on innovation, offering competitive compensation and professional development opportunities.
Senior Python Engineer for Real-Time Trading Tech (London) employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer for Real-Time Trading Tech (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading tech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Python Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading strategies or data analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data pipelines and cloud architectures. Practice common interview questions and consider mock interviews to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Python Engineer for Real-Time Trading Tech (London)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python development in your application. We want to see how you've used Python to tackle real-world problems, especially in trading or data analysis.
Talk About Your Teamwork: Since you'll be working closely with quants and traders, it's important to showcase your collaborative skills. Share examples of how you've successfully worked in teams to achieve common goals.
Detail Your Technical Expertise: Don't forget to mention your knowledge of data pipelines, cloud architectures, and high-performance systems. We’re looking for someone who can hit the ground running, so make it clear how your skills align with our needs.
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 Radley James
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your past projects and how you've used Python to solve complex problems, especially in trading or data analysis.
✨Understand Real-Time Trading Tech
Familiarise yourself with real-time trading technologies and strategies. Knowing how your role as a Senior Python Engineer fits into the bigger picture of trading will impress the interviewers and show your genuine interest in the field.
✨Showcase Your Leadership Skills
Since this role involves leading code reviews, be ready to talk about your experience in mentoring others and how you approach code quality. Share specific examples where your leadership made a difference in a project.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of data pipelines, cloud architectures, and high-performance systems. Practise coding challenges and be ready to explain your thought process clearly during the interview.