At a Glance
- Tasks: Lead an agile team to design and implement AI-ready data solutions.
- Company: Join JPMorganChase, a leader in technology and finance.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make a significant impact with cutting-edge technology in a dynamic environment.
- Qualifications: Expertise in Python and experience with data engineering and AI tools.
The predicted salary is between 63000 - 77000 £ per year.
Description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Asset Management Core Data & Analytics Engineering organization, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
You will be part of a development team responsible for designing and implementing data and analytics solutions and AI ready capabilities on a federated data platform to support business initiatives.
The role includes building performant, automated ingestion and transformation pipelines for internal and external data sources, developing new distribution channels, and delivering enhanced Data Products through a comprehensive data marketplace supporting Technology teams and business users, including Quantitative Research.
In parallel, you will bring an understanding of how to design and implement an AI-ready data platform—helping embed reusable foundations that make the platform and its Data Products easier to understand, discover, trust, and consume for both traditional analytics and AI-enabled use cases (for example, strengthening semantic consistency, metadata and lineage, data quality signals, and modern consumption patterns)
- Job responsibilities
- Provides technical guidance and direction to support business and technical teams, contractors, and vendors delivering data ingestion, transformation, distribution, and data product capabilities on a federated data platform.
- Designs and develops secure, high-quality production code for scalable data pipelines, data services, and marketplace-facing Data Products; reviews, debugs, and improves code written by others.
- Leads design and implementation of reusable platform capabilities that make the platform and Data Products AI-ready (e. g., consistent meaning and definitions, strong metadata/lineage and quality signals, and consumption patterns that support both analytics and AI-enabled use cases).
- Drives decisions influencing product design, data product contracts, distribution approaches, and engineering processes to improve time-to-data, reliability, and consumer experience (including Quantitative Research).
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Establishes and promotes engineering standards and automation across the SDLC (testing, CI/CD, observability, performance), ensuring solutions are secure, stable, and scalable.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality and delivery outcomes, while setting measurable validation standards (secure coding, peer review, automated testing) and encouraging reuse of proven patterns within the SDLC/TLM toolchain.
- Acts as a function-wide subject matter expert in one or more focus areas (e. g., data engineering patterns, distributed processing, data product design, platform enablement), and contributes to the broader
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and extensive applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
- Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) Singapore follow local country guidance
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) including Python
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
- Preferred qualifications, capabilities, and skills
- Experience delivering Data Products via a data marketplace or self-service consumption model.
- Familiarity with platform foundations that improve trust and explainability (e. g., metadata, lineage, quality measurement, semantic consistency).
- Experience supporting quantitative or research consumers and performance-sensitive data access patterns.
- Some Cloud-based Data Analytics platform experience in Snowflake, Databricks or similar data cloud solutions.
- An AWS Certification is preferred, but not a perquisite.
Senior Lead Software Engineer - Python - Asset & WM in London employer: JPMorganChase
J.P. Morgan Europe Limited is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of the financial sector. Employees benefit from comprehensive growth opportunities, competitive compensation, and a commitment to professional development, all while contributing to impactful consumer banking initiatives. Working here means being part of a prestigious institution that values insights and empowers its team members to drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Software Engineer - Python - Asset & WM 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 JPMorganChase 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 JPMorganChase.
✨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 JPMorganChase.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior Lead Software Engineer - Python - Asset & WM 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 JPMorganChase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorganChase 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 JPMorganChase
✨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 JPMorganChase 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.
