At a Glance
- Tasks: Lead innovative software projects using Python and Java, focusing on AI in trading technology.
- Company: Join JPMorganChase, a leader in financial technology with a dynamic team culture.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in the finance world while pushing tech boundaries.
- Qualifications: 5+ years in software development with strong skills in Python, Java, and AI.
The predicted salary is between 80000 - 100000 € per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within Credit Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Build and support AI‑native systems to expand our eTrading capabilities, including the development of scalable AI platforms for trading and the modernization of incumbent systems with AI tooling.
- Engage directly with Credit Sales and Trading business partners to understand their strategy and establish technical solutions in partnership with Product teams.
- Architect and build new systems hands‑on, leveraging AI‑assisted coding and modern engineering practices.
- Develop secure, high‑quality production code, and review and debug code written by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability and continually enhance system stability KPIs.
- Partner with L1 support teams to provide direct support for production systems, ensuring reliability and rapid issue resolution.
- Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies.
- Add to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- 5+ years of hands‑on practical experience delivering system design, application development, testing, and operational stability using Python, Java, or C++.
- Hands‑on experience with AI components, with a strong understanding and opinion of their application in modern technology stacks.
- Foundational understanding of AWS services and best practices, with practical cloud‑native experience.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful technology solutions.
- Strong communication skills and a passion for advancing technology through AI and modern engineering practices.
Preferred qualifications, capabilities, and skills
- Experience building scalable AI platforms for trading or financial services.
- Experience modernizing legacy systems with AI tooling.
- In‑depth knowledge of the financial services industry and their IT systems.
- Experience supporting production systems in partnership with L1 support teams.
- Demonstrated ability to drive technical innovation and continuous improvement in a fast‑paced environment.
Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology in London employer: Jpmorgan Chase & Co.
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Lead Software Engineer in our Credit Technology team, you will not only have the opportunity to work with cutting-edge AI technologies but also benefit from a supportive environment that encourages professional growth and diversity. Our commitment to employee development, coupled with our dynamic work culture in a leading financial institution, makes this an exciting place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, Java, or AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and coding challenges. We recommend using platforms that simulate real interview scenarios. The more you practice, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology 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 hands-on experience with Python, Java, or C++, and don’t forget to mention any AI projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about technology and how your background aligns with our mission at StudySmarter. Be sure to mention your interest in financial markets and trading.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex technical challenges. We love seeing candidates who can think outside the box and come up with innovative solutions, especially in AI and cloud environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get to know you better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Java skills, as well as your understanding of AI components. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in building scalable systems or modernising legacy ones.
✨Understand the Business Context
Familiarise yourself with the financial markets and how technology plays a role in trading. Being able to speak knowledgeably about Credit Sales and Trading will show that you can engage effectively with business partners and understand their needs.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex technical problems in the past. Highlight your creative solutions and how you've used modern engineering practices to enhance system stability and operational efficiency.
✨Emphasise Team Collaboration
Since this role involves working closely with agile teams, be ready to discuss your experience in collaborative environments. Share how you've contributed to team culture and driven awareness of new technologies within your previous teams.
