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- Tasks: Design and maintain high-performance KDB/q solutions and engineer scalable data pipelines.
- Company: Leading global investment bank with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and contribute to data-driven trading strategies.
- Qualifications: Strong experience with KDB/q and Python, plus a background in data engineering.
- Other info: Exciting opportunity to work in a fast-paced financial environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading global investment bank is seeking a KDB Developer to join their Cross-Asset Data Engineering team in London. The successful candidate will design and maintain high-performance KDB/q solutions, work with Python to enhance the data platform, and engineer scalable data pipelines.
Applicants should have strong experience with KDB/q and Python, along with a background in data engineering or quantitative development. This role offers a unique opportunity to contribute to the bank's data-driven trading strategies.
KDB Developer - Cross-Asset Data & AI Trading employer: Vertus Partners
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land KDB Developer - Cross-Asset Data & AI Trading
✨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 on what they’re really looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects using KDB/q or Python, make sure to highlight them. Share links or even create a quick demo to showcase your expertise during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your KDB/q and Python knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace KDB Developer - Cross-Asset Data & AI Trading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with KDB/q and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background in data engineering or quantitative development aligns with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.
How to prepare for a job interview at Vertus Partners
✨Know Your KDB/q Inside Out
Make sure you brush up on your KDB/q skills before the interview. Be prepared to discuss your past projects and how you've used KDB/q to solve complex problems. Practising coding challenges related to KDB/q can also give you a leg up.
✨Show Off Your Python Prowess
Since Python is a key part of the role, be ready to demonstrate your knowledge. You might be asked to write some code or explain how you've used Python to enhance data platforms in previous roles. Have examples ready that showcase your ability to engineer scalable data pipelines.
✨Understand the Business Context
Familiarise yourself with the bank's data-driven trading strategies. Knowing how your role as a KDB Developer fits into the bigger picture will impress the interviewers. Research recent trends in cross-asset trading and think about how your skills can contribute.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions. Ask about the team dynamics, the technologies they use, and how success is measured in this role. This shows you're genuinely interested and helps you assess if it's the right fit for you.
