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Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer III – GenAI, Python, AWS

at J.P. Morgan

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Senior software engineer role on the Market Risk Technology team in London focused on developing Agentic AI solutions to streamline risk-management workflows. You will design, build, and maintain secure, scalable Python applications and system architectures, working in an Agile environment and collaborating closely with business users, quantitative researchers, and other technology teams. The role requires hands-on experience with generative AI (LLM orchestration and Agentic AI), SDLC practices, automated testing, and operational stability; experience with RAG, AWS, and containerization is preferred.

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Full Job Description

Location: LONDON, United Kingdom

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

Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

17 days ago

clicks

Software Engineer III – GenAI, Python, AWS

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: London

Country: United Kingdom

Senior software engineer role on the Market Risk Technology team in London focused on developing Agentic AI solutions to streamline risk-management workflows. You will design, build, and maintain secure, scalable Python applications and system architectures, working in an Agile environment and collaborating closely with business users, quantitative researchers, and other technology teams. The role requires hands-on experience with generative AI (LLM orchestration and Agentic AI), SDLC practices, automated testing, and operational stability; experience with RAG, AWS, and containerization is preferred.

Full Job Description

Location: LONDON, United Kingdom

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