At a Glance
- Tasks: Develop scalable solutions and design data pipelines for high-frequency trading.
- Company: Join Luxoft, a leader in tech innovation and finance.
- Benefits: Career growth, collaborative culture, and advanced technology exposure.
- Other info: Dynamic team environment with exciting challenges ahead.
- Why this job: Make an impact in the fast-paced world of electronic trading.
- Qualifications: Advanced Python and SQL skills, plus financial market experience.
The predicted salary is between 60000 - 80000 £ per year.
Luxoft is looking for a Senior Python Data Engineer / Quant Developer to join their team in Greater London. This role involves developing scalable solutions, designing end-to-end data pipelines, and supporting FIX connectivity for high-frequency trading environments.
Ideal candidates will have advanced skills in Python and SQL, and experience in financial markets. This position offers opportunities for career growth and working with advanced technologies in a collaborative environment.
Senior Python Quant Engineer - Data & Electronic Trading in London employer: Luxoft
Luxoft is an excellent employer for those seeking to thrive in the fast-paced world of financial technology. With a strong emphasis on career development, employees benefit from a collaborative work culture that encourages innovation and the use of cutting-edge technologies. Located in Greater London, Luxoft offers unique opportunities to engage with high-frequency trading environments while fostering professional growth in a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Quant Engineer - Data & Electronic Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors 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 data pipelines you've built. It’s a great way to demonstrate your expertise beyond the interview.
✨Tip Number 3
Prepare for those tricky technical interviews! Brush up on your SQL queries and Python coding challenges. Practising with mock interviews can really boost your confidence.
✨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 others.
We think you need these skills to ace Senior Python Quant Engineer - Data & Electronic Trading in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your advanced Python skills in your application. We want to see how you've used Python to develop scalable solutions or design data pipelines in your previous roles.
Talk About Your Financial Market Experience:If you've got experience in financial markets, don’t hold back! Share specific examples of how you've applied your knowledge in high-frequency trading environments. This will help us see how you fit into our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills without unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Luxoft
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with developing scalable solutions and designing data pipelines. Practise coding challenges that focus on Python, as they might ask you to solve problems on the spot.
✨Understand Financial Markets
Since this role is in a high-frequency trading environment, it’s crucial to have a solid understanding of financial markets. Familiarise yourself with key concepts and current trends. Being able to discuss how your technical skills apply to trading will set you apart.
✨Prepare for Technical Questions
Expect technical questions related to SQL and data handling. Review common SQL queries and be prepared to explain your thought process when designing data pipelines. It’s also a good idea to have examples from your past work ready to illustrate your expertise.
✨Showcase Collaboration Skills
This position emphasises working in a collaborative environment, so be ready to discuss your experiences working in teams. Highlight any projects where you’ve successfully collaborated with others, especially in tech or finance, to demonstrate your ability to thrive in a team setting.
