Ccb Risk Execution Uat Lead

JPMorgan Chase JPMorgan Chase · Banking · Mumbai, Maharashtra, India · Consumer & Community Banking

This role is for a UAT Lead at JPMorgan Chase, focusing on testing and implementing business-critical strategies within the CCB Risk domain. The role involves creating test plans, executing test scenarios, collaborating with stakeholders, and driving continuous improvement. While the role mentions leveraging AI tools for test design and automation, its core function is not AI/ML development but rather quality assurance and testing within a financial services context.

What you'd actually do

  1. Support testing and implementation of business-critical strategies and strategic deliveries.
  2. Understand and validate the intent of business requirements; translate requirements into testable scenarios and acceptance criteria.
  3. Formulate the test approach and detailed UAT test plan, including dependencies, risks, assumptions, and entry/exit criteria.
  4. Execute business scenarios in UAT environments and document results with clear evidence and defect details.
  5. Partner and collaborate with stakeholders to clarify questions, remove blockers, and provide regular testing status updates.

Skills

Required

  • Bachelor’s degree or comparable practical experience
  • 5–8 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 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

  • business-critical strategies
  • strategic deliveries
  • AI-assisted test design
  • AI/GenAI productivity tools
  • workflow automation
  • low-code tooling
  • AI-assisted script generation
  • intelligent test selection