Lead Data Engineer - Real-Time Trading & AI (Python/C++/KDB) in London

Lead Data Engineer - Real-Time Trading & AI (Python/C++/KDB) in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Design high-performance solutions and leverage AI for innovative analytics.
  • Company: Join JPMorgan Chase & Co., a leader in financial technology.
  • Benefits: Competitive salary, career growth, and the chance to work with global teams.
  • Other info: Fast-paced environment with exciting challenges and opportunities.
  • Why this job: Make an impact in real-time trading and shape the future of finance.
  • Qualifications: 5+ years in software engineering with skills in Python, KDB, or C++.

The predicted salary is between 80000 - 100000 £ per year.

JPMorgan Chase & Co. is looking for a Lead Software Engineer to design high-performance solutions within their Commercial & Investment Bank, Electronic Trading Technology. The role focuses on leveraging AI for data engineering and delivering innovative analytics capabilities.

Qualified candidates should have:

  • Over 5 years in software engineering
  • Strong skills in Python, KDB, or C++
  • The ability to manage technical initiatives across global teams
  • Experience in fast-paced financial environments

Lead Data Engineer - Real-Time Trading & AI (Python/C++/KDB) in London employer: Jpmorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the fast-paced world of finance. Employees benefit from extensive professional development opportunities, a strong emphasis on work-life balance, and the chance to work with cutting-edge technologies in a globally recognised institution. The culture promotes diversity and inclusion, making it a rewarding place for talented individuals to thrive and contribute to impactful projects.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer - Real-Time Trading & AI (Python/C++/KDB) in London

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, KDB, or C++. We want to see your real-time trading solutions and innovative analytics capabilities in action!

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences managing technical initiatives across global teams.

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 are proactive about their job search.

We think you need these skills to ace Lead Data Engineer - Real-Time Trading & AI (Python/C++/KDB) in London

Python
C++
KDB
Software Engineering
AI Integration
Data Engineering
Analytics Capabilities

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python, KDB, and C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background in fast-paced financial environments makes you a perfect fit for us.

Showcase Your Teamwork Skills:Since this role involves managing technical initiatives across global teams, make sure to highlight any collaborative projects you've worked on. We love seeing how you can work well with others!

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 the role. Plus, it’s super easy!

How to prepare for a job interview at Jpmorgan Chase & Co.

Know Your Tech Inside Out

Make sure you’re well-versed in Python, KDB, and C++. Brush up on your coding skills and be ready to tackle technical questions. Practising coding challenges related to real-time data processing can really help you shine.

Showcase Your Experience

With over 5 years in software engineering, you’ll want to highlight specific projects where you’ve successfully managed technical initiatives. Be prepared to discuss how you’ve leveraged AI in your previous roles, especially in fast-paced financial environments.

Understand the Company Culture

JPMorgan Chase & Co. values innovation and teamwork. Research their recent projects and initiatives in Electronic Trading Technology. This will not only show your interest but also help you align your answers with their goals during the interview.

Prepare for Behavioural Questions

Expect questions about how you handle challenges and work within global teams. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you convey your experiences clearly and effectively.