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- Tasks: Lead the development of a cutting-edge quantitative platform for equities.
- Company: Join a global bank with a strong focus on technology and innovation.
- Benefits: Enjoy a competitive salary, hybrid work model, and extensive benefits package.
- Why this job: Make a significant impact in finance while working with advanced technologies.
- Qualifications: Expertise in Python, data engineering, and real-time analytics required.
- Other info: Great opportunity for career growth in a dynamic environment.
The predicted salary is between 60000 - 84000 £ per year.
A global bank seeks an Engineering Lead for its Equities Technology team in London. In this role, you will guide the development of a quantitative platform, enhancing developer experience and ensuring high-quality code.
Required skills include expertise in:
- Python data engineering
- Real-time analytics
- Cloud technologies
This position offers a hybrid work model, competitive salary, and extensive benefits including annual leave, bonuses, and private medical care.
VP, Equities Quant Platform Lead — Python employer: Citibank (Switzerland) AG
Contact Detail:
Citibank (Switzerland) AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Equities Quant Platform Lead — Python
✨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 insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Demonstrating your expertise in Python and data engineering can really set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to tackle real-time analytics problems. Practising common interview questions related to cloud technologies will help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace VP, Equities Quant Platform Lead — Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python data engineering and real-time analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the VP, Equities Quant Platform Lead role. Share your passion for enhancing developer experience and any innovative ideas you have.
Showcase Your Cloud Knowledge: Since cloud technologies are key for this position, make sure to mention any relevant experience you have. We love seeing candidates who can leverage cloud solutions to improve platform performance!
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 from our team!
How to prepare for a job interview at Citibank (Switzerland) AG
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in data engineering. Be ready to discuss specific projects where you've used Python for real-time analytics. They’ll want to see how you can apply your knowledge practically.
✨Showcase Your Cloud Experience
Since cloud technologies are a big part of this role, prepare examples of how you've implemented solutions in the cloud. Whether it's AWS, Azure, or Google Cloud, be ready to explain your thought process and the impact of your work.
✨Demonstrate Leadership Skills
As an Engineering Lead, they’ll be looking for someone who can guide a team. Think of instances where you've led projects or mentored others. Highlight your ability to enhance developer experience and ensure high-quality code.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the technology stack they use, and their vision for the quantitative platform. This shows your genuine interest and helps you assess if it’s the right fit for you.
