Risk Management - User Acceptance Testing (uat) Analyst

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

The role is for a User Acceptance Testing (UAT) Analyst within JPMorgan Chase's Risk Management division. The primary focus is on planning, coordinating, and executing end-to-end testing for business-critical strategies and deliveries. While the role involves leveraging AI-assisted tools and innovative automation techniques to improve testing efficiency and reliability, it does not involve building or shipping AI models or agents as its core function. The role requires experience in manual testing, test planning, scenario creation, defect management, SQL, and Agile methodologies, with a strong emphasis on collaboration and communication.

What you'd actually do

  1. Partner closely with technology teams, business stakeholders, project analysts/managers, and external vendor resources to plan, coordinate, and execute end-to-end testing.
  2. Assess opportunities, design approach, and build automation solutions to improve efficiency and/or reduce cost.
  3. Apply innovative automation techniques and tooling (e.g., AI-assisted script generation, reusable frameworks, CI/CD integrations, and intelligent test selection) to improve speed and reliability.
  4. Understand and validate the intent of business requirements; translate requirements into testable scenarios and acceptance criteria.
  5. Execute business scenarios in UAT environments and document results with clear evidence and defect details.

Skills

Required

  • 2+ years of experience in manual testing, including creation of test plans/approach, test scenarios, and test scripts.
  • Experience with JIRA workflows, understanding end-to-end process flow, and creating/managing tasks and defects.
  • Proficiency with Microsoft Office; experience with Confluence - Unix operating systems and test management tools (e.g., qTest or similar).
  • Ability to write and execute SQL queries for test validation and data analysis.
  • Experience with Agile and Waterfall software development methodologies.
  • Strong, clear, and concise written and verbal communication, including the ability to prepare and edit executive-level updates.
  • Strong organizational and project management skills; able to manage competing priorities under tight deadlines.
  • Proven ability to collaborate effectively and build strong cross-functional partnerships.
  • Intellectual curiosity with ability to learn quickly; high initiative, self-direction, and ability to perform well under pressure.
  • Demonstrated experience using innovation tools (e.g., AI/GenAI productivity tools, workflow automation, low-code/no-code solutions, and data/visualization tooling) to improve test design, execution, reporting, or operational efficiency.

What the JD emphasized

  • AI-assisted script generation
  • AI-assisted test design