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- Tasks: Develop innovative AI solutions and collaborate with diverse teams to tackle complex challenges.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in the finance world using cutting-edge technology and AI.
- Qualifications: Experience in Python and familiarity with Generative AI and cloud platforms.
- Other info: Dynamic work environment with a focus on inclusion and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Software Engineer III – GenAI, Python, AWS role at JPMorgan Chase. 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.
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, opportunity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and applied experience.
- 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).
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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.
Software Engineer III – GenAI, Python, AWS in Glasgow employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer III – GenAI, Python, AWS in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with Generative AI. We recommend practicing common coding challenges and system design questions to show off your expertise.
✨Tip Number 3
Show your passion for the role! When you get the chance to chat with potential employers, let them know why you’re excited about working with Agentic AI and how you can contribute to their team culture of diversity and inclusion.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Software Engineer III – GenAI, Python, AWS in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Software Engineer III role. Highlight your Python expertise and any experience with Generative AI or AWS, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how you can contribute to our team. Share specific examples of your past work that align with the responsibilities mentioned in the job description.
Showcase Your Problem-Solving Skills: In your application, don’t just list your technical skills; demonstrate how you've used them to solve complex problems. We love candidates who can think outside the box and bring innovative solutions to the table.
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’s super easy!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you’re well-versed in Python, AWS, and Generative AI concepts. Brush up on your knowledge of LLM orchestration and Agentic AI libraries, as these are crucial for the role. Being able to discuss how you've applied these technologies in past projects will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified hidden problems in data or improved coding hygiene. Think about times when you’ve had to troubleshoot complex issues and how you approached them. This will demonstrate your ability to think beyond conventional methods.
✨Understand Agile Methodologies
Since the team works in an Agile environment, be ready to talk about your experience with Agile practices. Share how you’ve contributed to iterative development and continuous improvement in previous roles. This shows you can adapt and thrive in a fast-paced setting.
✨Communicate Effectively
Practice explaining technical concepts to non-technical stakeholders. You’ll need to interface with business-facing customers, so being able to convey complex ideas simply is key. Prepare some examples of how you’ve successfully communicated across teams in the past.
