Python Full-Stack Engineer: AI-Driven Governance & Analytics

United States Digital Space LLC; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

J.P. Morgan in the United Kingdom invites applications for a Software Engineer – Model Risk Governance & Review Analyst.

You will build data pipelines, integrate model performance monitoring, and leverage AI-assisted development tools to improve efficiency and reduce duplication of effort within MRGR analytics. The role emphasizes data controls, robust testing, secure coding, and collaboration with cross-functional teams to develop tooling for workflow automation and insight generation.

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience
• A Bachelors or Masters degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming.
• Proficient in Python and knowledge of Tornado web framework / TypeScript / React.
• Good understanding of software architecture, object-oriented programming and design patterns.
• Strong communication skills with the ability to interface with other functional areas in the firm on business requirements.
• Risk and control mindset: ability to think critically, assess user needs and create design solutions to meet user needs.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Responsibilities

• Build data pipelines to fetch, validate, transform, and deliver data to applications, enabling reliable downstream analytics, automation, and reporting.
• Integrate on-going performance monitoring requirements for models into business applications through applied development work, primarily in Python using in-house frameworks.
• Leverage developer productivity tools (e.g., GitHub Copilot) to accelerate delivery, improve code quality, and enhance documentation and testing.
• Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities.
• Build intelligent solutions to support MRGR staff activities, including workflow automation and insight generation.
• Leverages 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.
• 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

Skills

Python

TypeScript

React

Software architecture

Object-oriented programming

Design patterns

Communication skills

Risk-mindedness

Education

Bachelor's or Master's degree in Science/Technology/Engineering/Mathematics

Tools

Tornado Web Framework

AI-assisted development tools

Secure coding practices

Job description

J.P. Morgan in the United Kingdom invites applications for a Software Engineer – Model Risk Governance & Review Analyst.

You will build data pipelines, integrate model performance monitoring, and leverage AI-assisted development tools to improve efficiency and reduce duplication of effort within MRGR analytics. The role emphasizes data controls, robust testing, secure coding, and collaboration with cross-functional teams to develop tooling for workflow automation and insight generation.