Description

Key Responsibilities:

• Own data quality validation strategies for financial systems
• Demonstrate strong business process understanding across:
• Translate business requirements, regulatory rules, and user workflows into effective UAT scenarios
• Perform financial data quality validation across ETL pipelines, integrations, and data migrations
• Build and execute automated data quality checks using Python and/or Java
• Perform source‑to‑target reconciliation and migration validation
• Act as a bridge between business, product, and technology teams during UAT
• Present UAT status, risks, data quality issues, and go‑live readiness to business and leadership stakeholders

Required Skills:

• Deep experience with Playwright and test frameworks
• Strong understanding of financial services / wealth management business models
• Ability to quickly grasp business workflows, data dependencies, and downstream impacts
• SDET‑level experience in backend and data testing
• Proven experience with ETL, data migrations, and automated data validation
• Hands‑on development using Python and/or Java to build data testing frameworks
• Expert use of Azure DevOps pipelines for automated testing
• Advanced SQL for data analysis and reconciliation
• Excellent communication, presentation, and stakeholder management skills

Key Skills

Education

Bachelor's degree