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- Tasks: Design and build robust systems for trading strategies using Python.
- Company: Global commodities trading house with a focus on innovation.
- Benefits: Competitive compensation and professional development opportunities.
- Why this job: Join a fast-paced environment and make an impact in trading tech.
- Qualifications: 5+ years of Python experience and strong analytical skills.
The predicted salary is between 43200 - 72000 £ per year.
A global commodities trading house is seeking a Senior Python Engineer to build robust systems integral to their trading strategies in London. The role involves designing efficient applications, creating data pipelines, and collaborating with quants and traders.
Candidates should have 5+ years of Python experience, strong analytical skills, and a background in fast-paced environments. This position offers competitive compensation and opportunities for professional development.
Senior Python Engineer - Trading Tech & Real-Time Analytics employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer - Trading Tech & Real-Time Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the trading tech space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your Python projects, especially those related to trading or analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get into the zone.
✨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 other candidates.
We think you need these skills to ace Senior Python Engineer - Trading Tech & Real-Time Analytics
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your 5+ years of Python experience in your application. We want to see how you've used Python to build robust systems and tackle real-time analytics, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience in fast-paced environments and how it relates to trading tech. We love seeing candidates who can connect their background to what we do!
Collaborate Like a Pro: Since this role involves working closely with quants and traders, share examples of how you’ve collaborated in the past. We’re looking for team players who can communicate effectively and contribute to our trading strategies.
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 important 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 experience with various libraries and frameworks, as well as any projects you've worked on that showcase your ability to build robust systems.
✨Understand Trading Tech Fundamentals
Familiarise yourself with the basics of trading technology and real-time analytics. Knowing how trading strategies work and the role of data pipelines in this context will help you stand out and show that you're genuinely interested in the field.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical thinking during the interview. Prepare examples of how you've solved complex problems in fast-paced environments, especially those related to data processing or system design.
✨Collaborate Like a Pro
Since the role involves working closely with quants and traders, highlight your teamwork skills. Share experiences where you've successfully collaborated with others to achieve a common goal, and be open to discussing how you can contribute to their team dynamic.
