Senior Principal Architect

JPMorganChase
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior/Principal Product Manager - Machine Learning and AI

Senior Data Scientist SME & AI Architect

Principal Machine Learning Engineer

Senior Data Scientist & ML Engineer (f/m/d)

Senior Data Scientist - NLP AI Research

Senior Data Scientist - NLP AI Research

JOB DESCRIPTION

You’re a pro who wants to influence the future of technical architecture and our team is looking for people like you. As a Senior Principal Engineer/Architect, reporting to the Head of Market Risk Technology, you will play a pivotal role in shaping our technology platforms. Your expertise will be crucial in developing and enhancing architecture platforms based on modern cloud technologies, big-data solutions, and data management systems such as data warehouses, lakes, and lake houses. Collaborate with cross-functional teams to drive strategic global solutions and ensure best-in-class outcomes.

Job Responsibilities

  • Lead the development of architectural blueprints and scalable coding frameworks for technology teams.
  • Provide expert guidance on technology selection and improvements to achieve target state architecture.
  • Develop multi-year roadmaps aligned with business and architecture strategies.
  • Serve as a subject matter expert, advising on complex technical issues and solutions.
  • Champion high-quality software architecture and development practices.
  • Create durable, reusable software frameworks to enhance team velocity and output quality.
  • Engage in critical issue investigation and remediation across the organization.

Required Qualifications, Capabilities, and Skills

  • Proven ability to quickly understand complex system architectures and provide actionable guidance.
  • Formal training or certification in software engineering concepts with extensive applied experience.
  • Advanced experience in leading technologists to solve complex technical challenges.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Expertise in one or more programming languages and advanced knowledge of software architecture.
  • Strong communication skills with the ability to present effectively to senior leaders and executives.
  • In-depth knowledge of cloud technologies, data architectures, artificial intelligence, and machine learning platforms.

Preferred Qualifications, Capabilities, and Skills

  • Experience in the financial industry or other highly regulated sectors, specifically risk management systems.
  • Practical experience in large-scale cloud environments and interconnected systems.
  • Familiarity with Market or Credit Risk functions.
  • Experience working with large, globally diverse organizations.

We value fresh perspectives and innovative thinking. This role offers the opportunity to bring new ideas to the table and make a significant impact on our technology landscape. Join us and be part of a dynamic team that is shaping the future of technology in Market Risk.

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. Visit our FAQs for more information about requesting an accommodation.

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.

J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.