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, inclusion, and continuous improvement.
- Why this job: Make a real impact in the finance world by developing cutting-edge AI solutions.
- Qualifications: 5+ years in software development with strong skills in Python, Java, and AI technologies.
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 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 have the opportunity to work with cutting-edge AI technologies while contributing to impactful projects in the financial markets. We offer a dynamic work environment that encourages professional growth, diversity, and inclusion, ensuring that every team member can thrive and make a meaningful contribution to our mission.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at JPMorganChase. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Python, Java, or AI. Share it during interviews to give them a taste of what you can do.
✨Prepare for Technical Interviews
Brush up on your coding skills and be ready to solve problems on the spot. Practice common algorithms and system design questions, as they’re likely to come up. We want you to shine in those technical discussions!
✨Apply Through Our Website
Make sure 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 team at JPMorganChase.
We think you need these skills to ace Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology
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 any AI projects you've worked on. We want to see how you can contribute 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 technology and how your background aligns with our mission at StudySmarter. Don't forget 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 in the past. We love candidates who think outside the box and can demonstrate their ability to deliver creative software solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, Java, and AI components. Brush up on your knowledge of AWS services and cloud-native practices. Be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex technical challenges. Think about times when you’ve had to innovate or break down problems creatively. This will demonstrate your ability to think beyond conventional approaches.
✨Understand the Business Context
Familiarise yourself with the financial markets and trading environment. Be prepared to discuss how your technical solutions can support Credit Sales and Trading teams. Showing that you understand their strategy will set you apart.
✨Communicate Effectively
Strong communication skills are key. Practice explaining technical concepts in a way that’s easy to understand. Be ready to engage in discussions about team culture, diversity, and inclusion, as these are important values for the company.
