At a Glance
- Tasks: Lead innovative software projects in a fast-paced financial environment using Python, KDB, and AI.
- Company: Join JPMorgan Chase's dynamic global analytics team in Electronic Trading Technology.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Mentorship opportunities and a commitment to diversity and inclusion in a collaborative environment.
- Why this job: Make a real impact on trading technology while working with cutting-edge tools and techniques.
- Qualifications: 5+ years in software engineering with expertise in Python/KDB/C++ and AI technologies.
The predicted salary is between 80000 - 100000 £ per year.
Join a dynamic, global analytics team within JPMorgan Chase's Commercial & Investment Bank, Electronic Trading Technology. As a Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank, Electronic Trading Technology, you will play a pivotal role in designing and delivering high-performance, scalable solutions that power real-time trading and research in a fast-paced financial environment. We seek candidates with strong expertise in any of Python/KDB/C++, and who can leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role.
Responsibilities
- Lead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors, and vendors in a high-velocity environment.
- Design, build, and optimize real-time data processing pipelines and applications ensuring reliability and performance for mission-critical financial systems.
- Leverage AI technologies and techniques to enhance data engineering workflows, automate SDLC processes, and deliver advanced analytics capabilities for trading and research.
- Collaborate with research and trading teams worldwide to onboard new datasets efficiently and consistently, supporting global business needs.
- Build and support robust tools and frameworks for quantitative research and production trading, including scalable APIs and analytics libraries.
- Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards across distributed teams.
- Influence product design, application functionality, and technical operations/processes to meet the demands of a rapidly evolving financial landscape.
- Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI, contributing to firmwide best practices and technical excellence.
- Champion diversity, inclusion, and collaboration within large, global teams.
Required Qualifications, Capabilities, and Skills
- 5+ years of applied experience in software engineering, in large-scale, fast-paced financial environments.
- Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams.
- Strong expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering.
- Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation.
- Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies (CI/CD, Application Resiliency, Security).
- Experience leading and mentoring teams in a global, collaborative environment.
- Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.
- Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred Qualifications, Capabilities, and Skills
- Experience with market data venue and vendor data platforms.
- AWS experience; practical cloud native/cloud experience is a plus.
- Experience with Terraform and Kubernetes for managing production environments in public cloud.
- Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets.
- Knowledge of machine learning, statistical techniques, and related libraries.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Sr Lead Software Engineer – Data Engineering, Python/C++/KDB/AI in London employer: J.P. Morgan
JPMorgan Chase is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within its global analytics team. As a Lead Software Engineer, you will benefit from extensive opportunities for professional growth, mentorship, and the chance to work on cutting-edge technologies in a fast-paced financial environment. The company's commitment to diversity and inclusion ensures a supportive atmosphere where every employee can thrive and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Lead Software Engineer – Data Engineering, Python/C++/KDB/AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at JPMorgan Chase. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Python, KDB, or C++. This gives you a chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Ace the interview! Research common technical questions related to data engineering and AI. Practise coding challenges and be ready to discuss how you've tackled complex problems in your past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at JPMorgan Chase.
We think you need these skills to ace Sr Lead Software Engineer – Data Engineering, Python/C++/KDB/AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, KDB, C++, and any AI projects you've worked on. We want to see how you can bring value to our team!
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 aligns with our needs. Don’t forget to mention your experience in fast-paced financial environments!
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's building real-time data processing pipelines or leveraging AI for analytics, we love seeing practical examples of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our dynamic team!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your Python, KDB, and C++ skills. Be ready to discuss specific projects where you've used these technologies, especially in real-time data processing or analytics. The more you can demonstrate your hands-on experience, the better!
✨Showcase Your AI Knowledge
Since AI is a big part of this role, prepare to talk about how you've leveraged AI in your previous work. Whether it's automating processes or enhancing data workflows, have concrete examples ready to share that highlight your innovative thinking.
✨Prepare for Technical Challenges
Expect to face some technical challenges during the interview. Practice solving problems related to system design and application development. This will not only show your problem-solving skills but also your ability to think on your feet in a fast-paced environment.
✨Emphasise Collaboration and Leadership
As a Lead Software Engineer, you'll need to demonstrate your ability to mentor and guide teams. Be prepared to discuss your leadership style and provide examples of how you've successfully collaborated with global teams to drive projects forward.
