Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of cutting-edge quantitative trading tools and mentor a talented engineering team.
- Company: A leading global bank in London with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, annual leave, and medical care.
- Why this job: Make a significant impact in finance while working with advanced technologies.
- Qualifications: Extensive Python experience and a strong background in enhancing developer experiences.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading global bank in London is seeking an Engineering Lead to develop high-impact quantitative trading tools. The role involves architecting scalable components and mentoring engineers, with a focus on data-centric applications and cloud technologies.
Candidates should have extensive experience in the Python ecosystem and a proven track record in enhancing developer experiences. This position offers a hybrid working model and a competitive benefits package including annual leave and medical care.
Senior Quant Platform Engineering Lead - Python (Equities) in London employer: PowerToFly
Contact Detail:
PowerToFly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Platform Engineering Lead - Python (Equities) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the bank or similar firms. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to quantitative trading or cloud technologies. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data-centric applications. Practice common algorithms and system design questions, as these are often key in roles like the one you're eyeing.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace your application and connect with potential employers. Plus, it’s a great way to ensure your CV lands in the right hands!
We think you need these skills to ace Senior Quant Platform Engineering Lead - Python (Equities) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your extensive experience in the Python ecosystem. We want to see how you've used Python to develop scalable components or enhance developer experiences in your previous roles.
Talk About Your Leadership Experience: As an Engineering Lead, mentoring is key! Share examples of how you've guided engineers in the past and the impact it had on their development and the projects you worked on together.
Focus on Data-Centric Applications: Since this role involves data-centric applications, don’t forget to mention any relevant projects or tools you've developed that showcase your ability to work with data effectively. We love seeing real-world applications!
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at PowerToFly
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with the Python ecosystem, including libraries and frameworks you've used in quantitative trading tools. Prepare to showcase specific projects where you've enhanced developer experiences.
✨Architectural Insights Matter
Since the role involves architecting scalable components, be prepared to talk about your approach to system design. Think of examples where you've built data-centric applications or worked with cloud technologies. Highlight your thought process and decision-making in these scenarios.
✨Mentorship Experience is Key
As a lead, mentoring engineers will be part of your role. Share your experiences in guiding junior developers or leading teams. Discuss how you've fostered a collaborative environment and helped others grow their skills, as this will show your leadership capabilities.
✨Embrace the Hybrid Model
With a hybrid working model in place, be ready to discuss how you manage your time and productivity in both remote and in-office settings. Share strategies that have worked for you in balancing collaboration and independent work, as this will demonstrate your adaptability.
