Lead Software Engineer - Python / Athena Trade and Risk Services in London

Lead Software Engineer - Python / Athena Trade and Risk Services in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Lead the development of innovative tools that enhance engineering productivity and operational efficiency.
  • Company: Join J.P. Morgan, a global leader in financial services with a focus on diversity and inclusion.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate in a dynamic environment with excellent career advancement opportunities.
  • Why this job: Make a real impact by shaping technology used by thousands of engineers daily.
  • Qualifications: Strong Python skills and a passion for developer tooling are essential.

The predicted salary is between 80000 - 100000 £ per year.

Join the ATRS Tools team and help shape the developer and operations experience on one of the firm's most strategic technology platforms, used by thousands of engineers and middle-office users every day.

Our remit spans two pillars: engineering productivity tooling that gives developers confidence in the changes they make, and operational tooling that gives the business real-time visibility and control over the platform.

The tools we build touch daily activity across the firm's front-to-back platform.

If you want your work to be visible across the organization and directly influence how a codebase of this scale is operated, tested, and evolved, this is the place.

  • Job Responsibilities
  • Build and evolve engineering productivity tooling: systems that help developers make changes with confidence, covering change management, regression and behaviour-comparison testing, and codebase health at scale
  • Build and evolve operational tooling: real-time monitoring, alerting, and workflow frameworks that give Operations users the visibility and control they need to run the business
  • Drive strategic platform initiatives that reshape how core capabilities, such as runtime configuration and large-scale codebase cleanup, are managed safely and deterministically across the estate
  • Design and evolve real-time, event-driven systems built on modern streaming platforms that power operational monitoring and downstream consumers across lines of business
  • Embed AI capabilities into team-owned products, surfacing intelligent recommendations, accelerating routine user actions, and turning ambiguous inputs into structured, reviewable outputs, using approved enterprise AI tooling
  • Own features across their full lifecycle: discovery, design, implementation, rollout, telemetry, and operational support (including production incident response for team-owned components)
  • Translate ambiguous asks from Operations teams, LOB engineers, and Controls partners into reusable platform capabilities, generalising per-team patterns into framework primitives adopted across the estate
  • Partner with Controls and Audit stakeholders to implement effective, low-friction engineering controls in change management and release workflows
  • Influence engineering standards and best practices across a broad developer community through RFCs, guidance, and reference implementations
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e. g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies 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 advanced applied experience
  • Strong software engineering fundamentals and a genuine passion for developer and operations tooling
  • Proficiency in Python, with working knowledge of Type Script/React for web tooling and SQL for full-stack work
  • Proficient user of enterprise-authorized AI-assisted development tools (coding, review, test acceleration, troubleshooting), with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use when building AI capabilities into products, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations, along with the ability to guide a team through these considerations
  • Solid grounding in testing, reliability, and maintainable system design, comfortable with layered architectures, event-driven systems, and distributed state
  • Ability to operate independently in ambiguous problem spaces (RFCs, greenfield platform initiatives) and collaborate effectively across teams
  • Skill in turning loosely defined requirements into robust, widely adopted solutions: vertical slice first, broaden second
  • Working knowledge of modern engineering workflows: testing, CI/CD, static analysis, version control, and deployment
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e. g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Preferred Qualifications, Capabilities, and Skills
  • Experience building internal tools or platforms used by other engineers or operations users
  • Familiarity with large or long-lived codebases and the challenges of maintaining them over time
  • Experience with real-time or event-driven systems
  • Experience with automated testing at scale, particularly for production-critical systems
  • Experience integrating AI features into user-facing products
  • Background in migrations, refactoring, or other platform-scale change initiatives
  • Experience influencing engineering practices beyond your immediate team

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.

Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments.

Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries.

The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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Lead Software Engineer - Python / Athena Trade and Risk Services in London 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.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Software Engineer - Python / Athena Trade and Risk Services in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Lead Software Engineer - Python / Athena Trade and Risk Services in London

Python
TypeScript
React
SQL
AI-assisted development tools
Software Development Life Cycle (SDLC)
Event-driven systems

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.