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- Tasks: Design and deliver innovative software solutions in a dynamic Agile environment.
- Company: Join JP Morgan Chase, a leader in financial technology.
- Benefits: Competitive salary, professional development, and a diverse, inclusive culture.
- Why this job: Make an impact with cutting-edge AI technology in the finance sector.
- Qualifications: Experience in Python and familiarity with Generative AI required.
- Other info: Great opportunities for career growth and collaboration with talented teams.
The predicted salary is between 36000 - 60000 £ per year.
Market Risk Technology is responsible for providing JP Morgan's Risk Managers with the capability to assess the financial impact of various adverse market scenarios at a firm wide level. This capability covers calculations, scenario analysis, analytics, reporting and other tools and processes required to manage risk. Our team is responsible for developing Agentic AI based solutions, which help our users streamline their day-to-day roles.
As a Software Engineer III at JPMorgan Chase, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Interface closely with the business, quantitative research analysts, and upstream as well as downstream technology teams across the firm.
- Execute 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.
- Work in an Agile environment, always looking to improve.
- Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Contribute to software engineering communities of practice and events that explore new and emerging technologies.
- Add to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts.
- Professional development experience with Python.
- Familiarity with Generative AI, specifically LLM Orchestration and Agentic AI libraries.
- Comprehensive knowledge of the Software Development Life Cycle.
- Hands-on practical experience in system design, application development, automated testing, and operational stability.
- Experience communicating to business facing customers and technical teams.
Preferred qualifications, capabilities, and skills:
- Familiarity with Banking/Finance/Risk domains.
- Experience in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
- Experience with cloud computing platforms (e.g. AWS) & containerization technologies (e.g. Docker).
Software Engineer III – GenAI, Python, AWS employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer III – GenAI, Python, AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JP Morgan or similar firms. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and technical problem-solving. Practice coding challenges and be ready to discuss how you've tackled complex problems in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Software Engineer III – GenAI, Python, AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any experience with Generative AI or AWS, as these are key for the Software Engineer III role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about market risk technology and how your background aligns with our needs. Be sure to mention any relevant projects or experiences that showcase your problem-solving skills.
Showcase Your Agile Experience: Since we work in an Agile environment, it’s important to demonstrate your familiarity with Agile methodologies. Share examples of how you've contributed to team improvements or adapted to changes in project requirements.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application is seen by the right people and gives you the best chance to stand out in the process!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in Python, AWS, and any relevant Generative AI technologies. Brush up on your knowledge of LLM orchestration and Agentic AI libraries, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical problems. Think about how you identified hidden issues in data or improved coding hygiene, as this aligns with what they’re looking for.
✨Understand Agile Methodologies
Since the role involves working in an Agile environment, be ready to talk about your experience with Agile practices. Share how you’ve contributed to team improvements and adapted to changing requirements.
✨Communicate Effectively
Practice explaining technical concepts in a way that’s accessible to non-technical stakeholders. This is crucial since you’ll be interfacing with business teams, so demonstrate your ability to bridge the gap between tech and business.
