At a Glance
- Tasks: Shape the future of Applied AI by creating innovative solutions for Markets Operations.
- Company: Join JPMorgan Chase, a global leader in financial services with a focus on creativity and collaboration.
- Benefits: Enjoy competitive pay, mentorship, and opportunities for hands-on ownership in your projects.
- Other info: Be part of a diverse team that values continuous learning and innovation.
- Why this job: Make a real impact in finance while growing your skills in a dynamic environment.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field; strong Python skills required.
The predicted salary is between 80100 - 97900 £ per year.
Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning.
As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence.
Job Responsibilities- Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases.
- Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies.
- Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes.
- Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems.
- Evaluate new AI infrastructure technologies and share findings to inform team technical decisions.
- Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing.
- Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability.
- Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions.
- Hold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, a related field, or equivalent practical experience.
- Demonstrate strong Python programming skills.
- Design, develop, and integrate RESTful APIs, such as with FastAPI.
- Build and support ETL and data pipeline engineering workflows.
- Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines.
- Design and integrate databases and data models.
- Apply monitoring practices and understand controls and compliance concepts in production environments.
- Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences.
- Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work.
- Apply AI and machine learning concepts with a strong interest in applied AI productization.
- Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology.
- Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management.
- Use AWS and tools such as MLflow.
- Develop front-end capabilities with React or modern front-end development.
- Apply graph database modeling concepts.
Your contributions will help redefine what’s possible in financial services. You’ll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career.
Applied AI Engineer, Markets Operations – Associate in London employer: JP Morgan Chase
At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly within our Global Financial Crimes Compliance team in EMEA. Our commitment to diversity and inclusion fosters a collaborative work culture where employees are empowered to grow and develop their skills in a dynamic environment. With access to comprehensive training and the opportunity to engage with a wide range of financial services, you will find meaningful and rewarding career advancement in a company that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer, Markets Operations – Associate in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JP Morgan Chase or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JP Morgan Chase.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JP Morgan Chase.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JP Morgan Chase that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI Engineer, Markets Operations – Associate in London
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 JP Morgan Chase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JP Morgan Chase 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 JP Morgan Chase
✨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 JP Morgan Chase 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.
