Corporate KYC : Principle Software Engineer - Executive Director in Glasgow

Corporate KYC : Principle Software Engineer - Executive Director in Glasgow

Glasgow Full-Time 70000 - 90000 £ / year (est.) No working from home possible
J.P. Morgan

At a Glance

  • Tasks: Lead the development of innovative KYC and Risk Assessment Data Platforms at J.P. Morgan.
  • 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.
  • Other info: Dynamic team environment with excellent career advancement opportunities.
  • Why this job: Make a real impact in finance by leveraging cutting-edge technology and AI systems.
  • Qualifications: Expertise in software engineering, AI/ML systems, and strong programming skills required.

The predicted salary is between 70000 - 90000 £ per year.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Principal Software Engineer at JPMorgan Chase within the Corporate Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. To enhance, build, and deliver a trusted market leading Global Know Your Customer (KYC) and Risk Assessment Data Platform in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios. This role is suited to a senior engineer who has hands-on skills to lead across multiple teams - defining architecture, engineering practices and standards, and delivering high-impact software that scales.

Job responsibilities

  • Architects and implements complex, scalable engineering frameworks and solutions using modern software design principles.
  • Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers.
  • Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions.
  • Designs and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments.
  • Establishes engineering standards for LLM-based applications - RAG pipelines, embedding workflows, vector store integrations, and model serving - ensuring safety, observability, and reproducibility at scale.
  • Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies.
  • Serves as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems.
  • Advises cross-functional teams on technological matters within your domain of expertise.
  • Influences leaders and senior stakeholders across business, product, and technology teams on technical strategy and direction.
  • Architects and governs agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational outcomes at scale.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

  • Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale.
  • Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures.
  • Expert in one or more programming languages, particularly Python and/or Java.
  • Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering).
  • Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools, and orchestration frameworks.
  • Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance.
  • Practical cloud-native experience (AWS, Azure, or GCP).
  • Ability to present and effectively communicate with senior leaders and executives.
  • Demonstrable experience designing and leading adoption of agentic AI-enabled development practices across teams.
  • Strong understanding of responsible AI use and control expectations in engineering workflows.

Preferred qualifications, capabilities, and skills

  • Experience with modern data platforms such as Databricks or Snowflake.
  • Deep hands-on experience with Spark/PySpark and other big data processing technologies.
  • Expertise in open-source table formats and catalog services such as Apache Iceberg.
  • Experience with LLM orchestration frameworks and model serving infrastructure.
  • Familiarity with AI evaluation and observability practices.
  • Understanding of agentic design patterns and how to constrain agent autonomy in high-stakes financial workflows.
  • Awareness of AI risk and regulatory considerations relevant to AI use in financial decision-making.

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.

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.

Corporate KYC : Principle Software Engineer - Executive Director in Glasgow employer: J.P. Morgan

As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.

J.P. Morgan

Contact Details:

J.P. Morgan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Corporate KYC : Principle Software Engineer - Executive Director in Glasgow

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Contribute to Open Source Projects

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We think you need these skills to ace Corporate KYC : Principle Software Engineer - Executive Director in Glasgow

System Design
Application Development
Operational Stability
AI/ML Systems Design
Programming Languages (Python, Java)
Data Processing
Microservices

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 J.P. Morgan.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at J.P. Morgan 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 J.P. Morgan

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 J.P. Morgan 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.