At a Glance
- Tasks: Lead innovative software projects and enhance AI capabilities in trading technology.
- Company: Join JPMorganChase, a leader in financial technology with a focus on diversity and inclusion.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on cutting-edge technology and career advancement.
- Why this job: Make a real impact in the fast-paced world of finance and technology.
- Qualifications: 5+ years in software development with Python or Java; AI experience preferred.
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.
Equal Employment Opportunity Statement
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.
Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology employer: J.P. Morgan
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. Our commitment to diversity, employee growth, and a supportive work environment ensures that you can thrive both personally and professionally in this dynamic role.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at JPMorganChase. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Java, or AI. This gives you a chance to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI components. Practice common algorithms and system design questions to impress your interviewers.
✨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, it shows you’re genuinely interested in joining our team.
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 components you've worked with. 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 Projects:If you've worked on any relevant projects, especially those involving AI platforms or modern engineering practices, make sure to include them. We love seeing real examples of your work and how you've tackled technical challenges.
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 shows you’re keen on joining our team!
How to prepare for a job interview at J.P. Morgan
✨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 think outside the box to deliver creative software solutions or modernise legacy systems with AI tooling.
✨Understand the Business Side
Familiarise yourself with the Credit Sales and Trading landscape. Be prepared to discuss how your technical solutions can align with business strategies and improve operational stability. This shows you’re not just a techie but also understand the bigger picture.
✨Communicate Effectively
Strong communication skills are key! Practice explaining complex technical concepts in simple terms. You’ll likely need to engage with various stakeholders, so being able to articulate your ideas clearly will set you apart.
