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- Tasks: Enhance and optimise a cutting-edge trading engine using your Python skills.
- Company: Join a leading quantitative trading firm in the heart of London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact in the fast-paced world of trading technology.
- Qualifications: 5+ years in software development with strong Python expertise required.
- Other info: Collaborative team culture with exciting challenges awaits you.
The predicted salary is between 48000 - 72000 £ per year.
A leading quantitative trading firm in London is seeking a highly skilled Core Python Developer to enhance their proprietary trading engine. The role entails developing and optimizing core engine components and maintaining trading operations.
Candidates should have 5+ years in software development, ideally within a trading environment, with strong Python expertise. The position requires excellent problem-solving abilities and communication skills, offering a collaborative and fast-paced work setting.
Core Python Engineer: Low-Latency Trading Engine in London employer: G-20 Group
Contact Detail:
G-20 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Core Python Engineer: Low-Latency Trading Engine in London
✨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! If you’ve got a GitHub or personal project that showcases your Python prowess, make sure to highlight it during interviews. It’s a great way to demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for technical challenges! Brush up on low-latency systems and trading concepts. We all know interviews can be tough, so practice coding problems and system design questions to ace them.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to show how your experience aligns with our needs in the trading environment.
We think you need these skills to ace Core Python Engineer: Low-Latency Trading Engine in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in real-world scenarios, especially in trading environments. Don't hold back on showcasing any projects or experiences that demonstrate your skills!
Problem-Solving is Key: Since this role requires excellent problem-solving abilities, include examples of challenges you've faced and how you tackled them. We love seeing candidates who can think on their feet and come up with innovative solutions!
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t be afraid to let your personality shine through. We’re looking for team players who can communicate effectively, so feel free to share a bit about yourself and your passion for trading and technology.
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. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at G-20 Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the libraries and frameworks relevant to low-latency trading. Be prepared to discuss your past projects and how you've optimised code for performance.
✨Understand the Trading Environment
Familiarise yourself with the basics of quantitative trading and the specific challenges faced in a trading environment. This will help you demonstrate your understanding of the role and how your skills can contribute to their trading engine.
✨Problem-Solving Scenarios
Expect to tackle some technical problems during the interview. Practice coding challenges that focus on algorithms and data structures, as well as real-time problem-solving scenarios that might arise in trading operations.
✨Communicate Clearly and Collaboratively
Since the role involves working in a collaborative setting, practice articulating your thought process clearly. Show that you can work well with others by discussing how you've successfully collaborated on past projects.
