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 within Market Risk Technology, 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.

Job responsibilities:

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

Required qualifications, capabilities, and skills:

Formal training or certification on software engineering concepts and applied experienceProfessional development experience with PythonFamiliarity with Generative AI, specifically LLM Orchestration and Agentic AI librariesComprehensive knowledge of the Software Development Life CycleHands-on practical experience in system design, application development, automated testing, and operational stabilityExperience communicating to business facing customers and technical teams​​​​​​​

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).