At a Glance
- Tasks: Lead the development of innovative AI-driven trading systems and enhance existing technologies.
- Company: Join JPMorgan Chase, a leader in financial technology with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team culture that values diversity, inclusion, and continuous learning.
- Why this job: Make a real impact in the financial sector while working with cutting-edge 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 JPMorgan Chase 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: JPMorganChase
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, makes this an ideal place for those looking to make a meaningful impact in the financial technology sector.
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
✨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 on platforms like GitHub to let potential employers see your work in action.
✨Ace the Interview
Prepare for technical interviews by brushing up on coding challenges and system design questions. Practice explaining your thought process clearly, as communication is key when working with teams in agile environments.
✨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, you’ll be one step closer to joining a team that values innovation and collaboration.
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 tell us why you're passionate about technology and how your background aligns with our mission at StudySmarter. Be genuine and let your personality come through.
Showcase Your Projects:If you’ve worked on any relevant projects, especially those involving AI or financial services, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
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 JPMorganChase
✨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 improve system stability. This will demonstrate your ability to innovate.
✨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 complex technical concepts in simple terms. Be ready to engage in discussions about architectural designs and how they align with business objectives, showcasing your collaborative spirit.
