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- Tasks: Lead the development of high-impact quant tools for trading and guide technical direction.
- Company: A leading global bank in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid work options, and numerous additional benefits.
- Why this job: Make a significant impact in quantitative trading while championing engineering excellence.
- Qualifications: Extensive experience in data-centric applications and Python data engineering.
- Other info: Join a collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading global bank in Greater London is seeking an Engineering Lead to develop high-impact front office quant tools. You will guide the technical direction of the platform, champion engineering excellence, and architect reusable components.
Candidates should have extensive experience in data-centric applications for quantitative trading, knowledge of Python data engineering, and skills in real-time analytics technologies.
Join a collaborative environment with a competitive salary and numerous benefits, including hybrid work options.
Equities Quant Platform Engineering Lead – Python employer: Citi
Contact Detail:
Citi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equities Quant Platform Engineering Lead – Python
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work with quant tools. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data-centric applications. 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 real-time analytics technologies. We recommend practicing coding challenges and discussing your thought process out loud, as this can really impress interviewers.
✨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 Equities Quant Platform Engineering Lead – Python
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python, especially in data-centric applications. We want to see how you've used Python in real-time analytics or quantitative trading, so don’t hold back!
Demonstrate Your Leadership Experience: As an Engineering Lead, you'll be guiding the technical direction of our platform. Share examples of how you've led teams or projects in the past, and how you championed engineering excellence.
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 directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Citi
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of data engineering. Be prepared to discuss specific libraries and frameworks you've used in previous projects, as well as how they can be applied to develop quant tools.
✨Showcase Your Quantitative Trading Knowledge
Familiarise yourself with the latest trends and technologies in quantitative trading. Be ready to explain how your experience aligns with the bank's needs, particularly in developing high-impact front office tools that leverage real-time analytics.
✨Demonstrate Leadership and Collaboration
As an Engineering Lead, you'll need to show that you can guide a team effectively. Prepare examples of how you've championed engineering excellence in past roles and how you've collaborated with cross-functional teams to achieve project goals.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the bank's approach to platform development and their vision for the future of quant tools. This shows your genuine interest and helps you assess if it's the right fit for you.
