At a Glance
- Tasks: Lead innovative software projects in a fast-paced financial environment using Python, C++, 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: Collaborative environment with strong focus on mentorship and continuous improvement.
- 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, or C++ and AI knowledge.
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.
Job 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.
Sr Lead Software Engineer – Data Engineering, Python/C++/KDB/AI in London employer: Jpmorgan Chase & Co.
JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation thrives within the Commercial & Investment Bank's Electronic Trading Technology team. Employees benefit from a culture of collaboration and diversity, with ample opportunities for professional growth through mentorship and involvement in cutting-edge projects that leverage AI and data engineering. Located in a fast-paced financial hub, this role not only provides competitive compensation but also the chance to make a significant impact on global trading systems.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Lead Software Engineer – Data Engineering, Python/C++/KDB/AI in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at JPMorgan Chase. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, make sure to highlight your hands-on experience with Python, KDB, and AI. Share specific examples of how you've used these skills to solve real problems in fast-paced environments.
✨Prepare for Technical Challenges
Brush up on your coding skills and be ready for technical assessments. Practice coding challenges related to data engineering and real-time processing. We all know that being prepared can make a huge difference!
✨Apply Through Our Website
Don't forget to apply directly 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 dynamic team.
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 highlights your experience with Python, KDB, and C++. We want to see how you've used these skills in real-time data processing or analytics-driven projects.
Showcase Your AI Knowledge:Since AI is a big part of this role, include any relevant projects or experiences where you've leveraged AI technologies. This could be anything from machine learning to automation in your development processes.
Highlight Leadership Experience:As a Lead Software Engineer, you'll be guiding teams. Share examples of how you've mentored others or led technical initiatives in fast-paced environments. We love seeing collaboration in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to get your application and ensure it reaches the right people quickly!
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 AI knowledge too, as it’s crucial for this role. Be ready to discuss specific projects where you've applied these technologies, especially in a financial context.
✨Showcase Your Leadership Skills
Since this position involves leading teams, prepare examples of how you've guided engineers or mentored colleagues in the past. Highlight any initiatives you've led that improved processes or outcomes in a fast-paced environment.
✨Understand the Financial Landscape
Familiarise yourself with the basics of trading and analytics in finance. Being able to speak intelligently about market data, trading systems, and how your technical skills can enhance these areas will set you apart.
✨Prepare for Problem-Solving Questions
Expect to tackle complex design problems during the interview. Practice articulating your thought process clearly and logically. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
