At a Glance
- Tasks: Design and deliver innovative software solutions for a leading financial services platform.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with a diverse team and contribute to exciting projects in finance.
- Why this job: Make an impact with cutting-edge technology while working in a dynamic, agile environment.
- Qualifications: Experience in software engineering, data engineering, and proficiency in Python required.
The predicted salary is between 63000 - 77000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the CT AWM Finance, 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.
Platform: The CT AWM Finance platform operates daily at enterprise scale— ~42M accounts, ~87M positions, ~8M transactions and ~700k manual adjustments —delivering reliable, audit-ready reporting for MIS Finance, Product Controllers, and Regional CFO teams.
Job responsibilities:
- 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.
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
- Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
- Contribute to software engineering communities of practice and events that explore new and emerging technologies.
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and proficient applied experience.
- Strong hands-on data engineering experience with Databricks and AWS.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficiency in coding in Python.
- Solid understanding of agile methodologies such as CI/CD, application resiliency, and security.
- Overall knowledge of the Software Development Life Cycle.
- Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Preferred qualifications, capabilities, and skills:
- Experience working within large-scale financial platforms supporting reporting, reconciliation, or controllership functions.
- Familiarity with enterprise-scale data pipelines and event-driven architectures.
- Exposure to audit-ready reporting frameworks or financial data governance practices.
- Experience contributing to or leading engineering communities of practice.
About Us: 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. Our first-class business in a first-class way approach to serving clients drives everything we do. 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. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
About the Team: Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
SWE Data/AI Engineer in Glasgow employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.
StudySmarter Expert Advice🤫
We think this is how you could land SWE Data/AI Engineer in Glasgow
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We think you need these skills to ace SWE Data/AI Engineer in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jpmorgan Chase & Co..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jpmorgan Chase & Co. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jpmorgan Chase & Co. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.