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- Tasks: Develop and optimise a real-time trading platform while collaborating with experienced traders.
- Company: Leading UK trading firm with a successful global trading team.
- Benefits: Competitive compensation and hybrid work model for flexibility.
- Why this job: Join a dynamic team and make an impact in the fast-paced trading world.
- Qualifications: Over 3 years of Python experience; background in systematic trading or C++ preferred.
- Other info: Exciting opportunity for career growth in a thriving industry.
The predicted salary is between 42000 - 84000 £ per year.
A leading trading firm in the UK is seeking a skilled Quantitative Developer/Python Engineer to join its successful global trading team. You will be developing and optimizing a real-time trading platform while collaborating closely with experienced traders.
Ideal candidates should have:
- Over 3 years of Python programming experience
- A background in systematic trading or C++
This role offers competitive compensation and operates in a hybrid work model.
Quantitative Developer — Real-Time Trading (Hybrid) employer: Capital Markets Recruitment
Contact Detail:
Capital Markets Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer — Real-Time Trading (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space 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 portfolio, make sure it’s up to date with your best Python projects. It’s a great way to demonstrate your coding chops.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and trading knowledge. Practising common interview questions can help us stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are keen on joining our team. It shows initiative!
We think you need these skills to ace Quantitative Developer — Real-Time Trading (Hybrid)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see how you've used Python in real-world scenarios, especially in trading or similar environments.
Tailor Your CV: Don’t just send a generic CV! Tailor it to the role by emphasising your experience with systematic trading or C++. We’re looking for candidates who can demonstrate their relevant skills and knowledge.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative development and how your background aligns with our needs. Let us know what excites you about this role!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Capital Markets Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in a trading context. Practising coding challenges can also help you demonstrate your proficiency.
✨Understand Systematic Trading
Familiarise yourself with the principles of systematic trading. Be prepared to explain how your experience aligns with this approach and how you can contribute to optimising the trading platform. Showing that you understand the trading strategies will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to both Python and C++. Review key concepts and be ready to tackle algorithmic challenges. It’s a good idea to practice explaining your thought process clearly, as communication is key when collaborating with traders.
✨Show Enthusiasm for Collaboration
Since this role involves working closely with traders, express your eagerness to collaborate and learn from their expertise. Share examples of how you've successfully worked in teams before, highlighting your ability to adapt and communicate effectively in a hybrid work environment.
