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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 43200 - 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 in London employer: Citi
Contact Detail:
Citi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equities Quant Platform Engineering Lead – Python in London
✨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 lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data-centric applications or real-time analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and understanding of quantitative trading concepts. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Equities Quant Platform Engineering Lead – Python in London
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 in a collaborative environment.
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 projects where you've used Python for quantitative trading and how you tackled challenges. Practising coding problems related to real-time analytics can also give you an edge.
✨Showcase Your Quantitative Trading Experience
Be ready to share examples of your experience with data-centric applications in quantitative trading. Highlight any tools or platforms you've developed or improved, and explain how they impacted trading strategies. This will demonstrate your understanding of the role and its requirements.
✨Emphasise Engineering Excellence
Since the role involves championing engineering excellence, come prepared to discuss your approach to software architecture and reusable components. Share your thoughts on best practices in coding, testing, and deployment, and be ready to provide examples of how you've implemented these in past projects.
✨Engage with the Collaborative Culture
This position is in a collaborative environment, so show your enthusiasm for teamwork. Prepare to discuss how you've worked effectively with cross-functional teams in the past. Highlight your communication skills and how you’ve contributed to a positive team dynamic, as this will resonate well with the interviewers.
