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- Tasks: Write and maintain complex Python infrastructure for trading systems.
- Company: Leading trading firm in Greater London with a dynamic team.
- Benefits: Competitive salary, exposure to cutting-edge tech, and collaborative environment.
- Why this job: Join a fast-paced team and make an impact in the trading world.
- Qualifications: Strong Python and Linux skills, with a passion for development.
- Other info: Great opportunities for career growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading trading firm in Greater London is seeking a dynamic software engineer to join their quantitative trading team. The role involves writing and maintaining a complex Python infrastructure, ensuring production servers are configured, and addressing operational issues.
Candidates should be passionate about development, possess strong Python and Linux skills, and be excited to work in a fast-paced environment. The position offers exposure to cutting edge technologies and collaboration opportunities within the team.
Production Python Systems Engineer Scalable Trading Infra employer: Jump Trading
Contact Detail:
Jump Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production Python Systems Engineer Scalable Trading Infra
✨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 or contributions. It’s a great way to demonstrate your passion and expertise in scalable systems.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and Linux knowledge, and be ready to tackle real-world problems. Practice makes perfect, so get coding!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Production Python Systems Engineer Scalable Trading Infra
Some tips for your application 🫡
Show Your Passion for Python: When writing your application, let us see your enthusiasm for Python! Share specific projects or experiences where you've used Python to solve problems or create something cool. This will help us understand your passion and skills.
Highlight Your Linux Skills: Since the role involves working with Linux, make sure to mention any relevant experience you have. Whether it's configuring servers or troubleshooting issues, we want to know how comfortable you are in a Linux environment.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the job description. Mention how your skills align with the requirements and why you're excited about joining our quantitative trading team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Jump Trading
✨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 complex problems. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with Linux
Since the role requires strong Linux skills, ensure you're comfortable navigating the system. Review common commands and configurations, and be prepared to discuss how you've managed production servers in the past.
✨Understand the Trading Environment
Get a grasp of the trading landscape and the specific challenges faced by trading firms. This will not only show your interest in the role but also help you ask insightful questions during the interview.
✨Show Your Passion for Development
Be ready to share what excites you about software development, especially in a fast-paced environment. Discuss any personal projects or contributions to open-source that highlight your enthusiasm and commitment to continuous learning.