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 environment, and work with advanced technologies.
- Other info: Exciting opportunities in a dynamic and supportive team.
- Why this job: Make an impact in financial markets using your Python and SQL skills.
- Qualifications: Advanced Python and SQL skills, plus experience in financial markets.
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 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 growth, employees benefit from a collaborative work culture that encourages innovation and the use of advanced technologies. Located in Greater London, Luxoft offers unique opportunities to work on cutting-edge projects in high-frequency trading, making it a rewarding place for talented professionals to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Quant Engineer - Data & Electronic Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the financial markets and tech communities. Attend meetups or webinars related to Python and trading – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data pipelines or trading algorithms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice coding challenges that focus on data manipulation and algorithm design – it’s all about demonstrating your problem-solving abilities!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior Python Quant Engineer - Data & Electronic Trading
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 in real-world scenarios, especially in financial markets or data engineering.
Talk About Your Experience with Data Pipelines:When writing your application, don’t forget to mention any experience you have with designing end-to-end data pipelines. We love candidates who can demonstrate their ability to create scalable solutions.
Connect the Dots with Financial Markets:If you've worked in high-frequency trading or have a solid understanding of financial markets, let us know! This is a key aspect of the role, and we want to see how your background aligns with our needs.
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!
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 in trading. This will not only help you answer questions but also show your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions related to SQL and data handling. Review common SQL queries and be prepared to explain how you would approach building end-to-end data pipelines. Practising these scenarios can give you an edge during the interview.
✨Showcase Your Collaborative Spirit
This position emphasises working in a collaborative environment, so be ready to share examples of how you've successfully worked in teams. Highlight any experiences where you’ve contributed to projects or helped colleagues, as this will demonstrate your ability to fit into their team culture.
