At a Glance
- Tasks: Collaborate with teams to develop innovative software solutions using GenAI, Python, and AWS.
- Company: Join a leading global financial services firm with a commitment to innovation.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in financial risk management while working with cutting-edge technology.
- Qualifications: Extensive experience in Python and Generative AI tools is essential.
- Other info: Be part of a diverse team in an Agile environment with excellent career prospects.
The predicted salary is between 36000 - 60000 £ per year.
A leading global financial services firm is seeking a Software Engineer III specializing in GenAI, Python, and AWS. This role involves collaborating with business teams, developing innovative software solutions, and enhancing application architectures in an Agile environment.
Candidates should have extensive experience with Python, Generative AI tools, and a solid understanding of software engineering principles.
Join a diverse team committed to developing advanced financial risk management solutions.
GenAI Software Engineer — Python, AWS, Risk Tech in Glasgow employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Software Engineer — Python, AWS, Risk Tech in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GenAI and Python. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Generative AI. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and software engineering principles. We want you to feel confident discussing how you can enhance application architectures.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GenAI Software Engineer — Python, AWS, Risk Tech in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and Generative AI tools in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience in Agile environments and how you've collaborated with teams to develop innovative solutions.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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 this exciting opportunity!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to Generative AI. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Agile Experience
Since this role involves working in an Agile environment, be prepared to talk about your experience with Agile methodologies. Share examples of how you've collaborated with teams, adapted to changes, and delivered software solutions efficiently. This will demonstrate your ability to thrive in a dynamic setting.
✨Understand the Business Context
Research the financial services firm and its approach to risk management. Understanding their business model and how your role as a Software Engineer fits into their goals will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful queries about the team dynamics, ongoing projects, or the company's vision for Generative AI. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.