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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 and risk management.
- Benefits: Competitive salary, health benefits, remote work options, and continuous learning opportunities.
- Why this job: Make a real impact with cutting-edge AI technology in the finance sector.
- Qualifications: Experience in Python and familiarity with Generative AI and cloud platforms.
- Other info: Be part of a diverse team that values inclusion and respect.
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 are 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 within Market Risk Technology, 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.
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).
Software Engineer III – GenAI, Python, AWS in Glasgow 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 in Glasgow
✨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 a lead on your dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python and AWS skills. Get comfy with Generative AI concepts too, as they’re hot topics right now. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 3
Show off your passion for software engineering! Join online communities or local meetups where you can share your knowledge and learn from others. This not only builds your skills but also expands your network.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your experience with Agile methodologies and problem-solving skills.
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 job description. Highlight your Python expertise and any experience with Generative AI or AWS, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially in software engineering and AI.
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 the StudySmarter team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any relevant Generative AI technologies. Brush up on your knowledge of AWS and containerization tools like Docker, as these will likely come up during the interview. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Understand the Business Context
Since this role involves interfacing with risk managers and quantitative analysts, it’s crucial to understand the financial implications of market scenarios. Familiarise yourself with how technology impacts risk management in banking and finance. This will help you articulate how your technical skills can directly benefit the team.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you’ve identified hidden problems in data or improved coding hygiene. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to think critically and creatively, which is key for a Software Engineer III.
✨Emphasise Team Collaboration
This role is all about working in an Agile environment, so be ready to talk about your experiences in collaborative settings. Highlight any contributions to team culture, diversity, and inclusion. Showing that you value teamwork and respect will resonate well with the interviewers.
