Software Engineer III – GenAI, Python, AWS

Testing Site - JPMC; Greater London; Presencial; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

JPMorgan Chase's Market Risk Technology group is seeking a Software Engineer III to design and deliver trusted, scalable risk technology products in a secure environment. You will collaborate with business, quantitative research, and cross‑functional teams to implement robust solutions that support firm‑wide risk analysis and scenario tooling.

In an Agile setting, you will contribute to architecture, automate testing, and help drive continuous improvement while focusing on reliability and

Formación

• 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.

Responsabilidades

• Interface with business, quantitative analysts, and tech teams across the firm.
• Develops, tests, and troubleshoots software with scalable, secure solutions.
• Works in an Agile environment and seeks continuous improvement.
• Identifies data patterns to improve code hygiene and architecture.
• Produces architecture and design artifacts for complex apps.
• Contributes to engineering communities and explores new tech.
• Fosters diversity, equity, inclusion, and respect on the team.

Conocimientos

Python

Generative AI

LLM orchestration

Software design

Agile

Stakeholder communication

Herramientas

Docker

AWS

Descripción del empleo

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)