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- Tasks: Design and develop high-performance KDB/q solutions for data engineering.
- Company: Join a leading global investment bank driving AI-powered trading insights.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Be at the forefront of data-driven trading innovation and analytics.
- Qualifications: Strong KDB/q and Python skills with a background in data engineering.
- Other info: Collaborate with trading and tech teams in a fast-paced, innovative setting.
The predicted salary is between 36000 - 60000 £ per year.
We are partnering with a leading global investment bank that is building out a new Cross-Asset Data Engineering and Analytics function. This team sits at the heart of the bank's efforts to consolidate data across asset classes and drive AI-powered trading insights and alpha research.
Responsibilities:
- Design, develop, and maintain high-performance KDB/q solutions.
- Work with Python to integrate and extend the data platform.
- Engineer scalable data pipelines across multiple asset classes.
- Partner with trading, quant, and technology teams to deliver analytics and data-driven tools.
- Contribute to the evolution of the bank's cross-asset data strategy and infrastructure.
Qualifications:
- Strong experience with KDB/q and Python.
- Proven background in data engineering or quantitative development.
- Exposure to market data, trade capture, or financial analytics platforms.
- Experience from any asset class (FX, Rates, Equities, Credit, etc.).
- Interest in cross-asset technology and data-driven trading innovation.
KDB Developer - Cross-Asset Data Engineering - Banking 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 Engineering - Banking
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and data engineering space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with KDB/q or Python projects, make sure to highlight them. It’s a great way to demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in past projects. Practice common interview questions related to data engineering and analytics.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace KDB Developer - Cross-Asset Data Engineering - Banking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the KDB Developer role. Highlight your experience with KDB/q and Python, and don’t forget to mention any relevant projects or achievements that showcase your skills in data engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cross-asset data engineering and how your background aligns with our goals at the bank. Keep it concise but impactful!
Showcase Relevant Experience: When filling out your application, be sure to showcase any experience you have with market data, trade capture, or financial analytics platforms. This will help us see how you can contribute to our team right from the start.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
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 ready to discuss your past projects and how you've used KDB/q to solve real-world problems. Practising coding challenges related to KDB/q can also give you a leg up.
✨Show Off Your Python Skills
Since Python is a key part of the role, be prepared to demonstrate your proficiency. Think about specific examples where you've integrated Python with data platforms or built scalable data pipelines. A quick coding exercise could come up, so keep your skills sharp!
✨Understand the Financial Landscape
Familiarise yourself with different asset classes like FX, Rates, and Equities. Being able to speak knowledgeably about market data and trade capture will show that you’re not just a tech whiz but also understand the financial context of your work.
✨Be Ready to Collaborate
This role involves working closely with trading, quant, and technology teams. Prepare to discuss how you've successfully collaborated in the past and how you approach teamwork. Highlight any experience you have in cross-functional projects to demonstrate your ability to partner effectively.
