Python Software Engineer III

Next Frontier Capital; Glasgow; On-site; GBP 85,000 - 120,000; Full time

Job summary

J.P. Morgan is seeking a Software Engineer III to join the Data Science Engineering team in Asset & Wealth Management. You will design and deliver secure, scalable technology products as part of an agile team, contributing across multiple domains.

You will implement production-grade code, apply AI-assisted development tools, and help ensure the reliability and security of critical systems while advancing analytics and data visualization capabilities.

Qualifications

• Proficiency in Python and data engineering tools (SQL, PySpark, Snowpark).
• Hands-on experience in system design, development, testing, and operational stability.
• Experience using enterprise AI-assisted development tools with validation for correctness and security.

Responsibilities

• Execute software solutions and design, develop, and troubleshoot complex problems.
• Create secure, high-quality production code and maintain critical algorithms.
• Leverage AI coding assist tools to improve code quality and delivery speed with peer review.
• Apply SDLC knowledge and automation capabilities to increase value.
• Produce architecture artifacts and ensure design constraints are met.
• Analyze large data sets to generate visualizations and improve software applications.

Skills

Python

SQL

PySpark

Snowpark

System design

Agile

CI/CD

AI tooling

Security

SDLC

Education

Degree in STEM

Tools

AI-assisted development tools

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Data Science Engineering team in Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Apply 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
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Proficiency in Python is essential, with strong working knowledge of SQL, PySpark, Snowpark, or similar tools for data engineering and analytical workflows
• Hands-on practical experience in system design, application development, testing, and operational stability
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Degree in a STEM subject
• Exposure to cloud technologies
• Knowledge of financial markets, particularly equities, is advantageous but not required

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.

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Drive impactful Python engineering solutions in a secure, scalable environment as part of a high-performing agile team.