Software Engineer III - GenAI, Python, AWS

JPMorgan Chase & Co.; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A major financial services firm in Greater London is seeking a Software Engineer III to enhance financial impact assessments through technology solutions. The role involves designing and delivering market-leading products in collaboration with cross-functional teams. Key qualifications include experience with Python, generating AI technologies, and a solid foundation in software engineering principles. This position emphasizes Agile practices and continuous improvement in coding standards and system architecture.

Qualifications

• Formal training or certification on software engineering concepts.
• Professional development experience with Python.
• Hands-on practical experience in system design and application development.

Responsibilities

• Interface closely with business and technology teams.
• Execute software solutions and troubleshoot tech issues.
• Proactively identify problems and improve coding hygiene.

Skills

Python

Generative AI

Software Development Life Cycle

System Design

Automated Testing

Education

Formal training or certification in software engineering

Tools

AWS

Docker

Job description

Market Risk Technology is responsible for providing JP Morgan's Risk Managers with the capability to assess the financial impact of various adverse market scenarios at a firm wide level. This capability covers calculations, scenario analysis, analytics, reporting and other tools and processes required to manage risk. Our team are responsible for developing Agentic AI based solutions, which help our users streamline their day-to-day roles.

As a Software Engineer III at JPMorgan Chase, 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:

• Interface closely with the business, quantitative research analysts, and upstream as well as downstream technology teams across the firm
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Work in an Agile environment, always looking to improve
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts
• Professional development experience with Python
• Familiarity with Generative AI, specifically LLM Orchestration and Agentic AI libraries
• Comprehensive knowledge of the Software Development Life Cycle
• Hands-on practical experience in system design, application development, automated testing, and operational stability
• Experience communicating to business facing customers and technical team

Preferred qualifications, capabilities, and skills:

• Familiarity with Banking/Finance/Risk domains.
• Experience in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Experience with cloud computing platforms (e.g. AWS) & containerization technologies (e.g. Docker).