Role Overview

What You'll Do

• Design and execute comprehensive test cases covering all reconciliation scenarios—matched, missing, duplicate, mismatch, and unmatched records—ensuring end-to-end accuracy across the platform
• Create robust test data sets that capture edge cases, boundary conditions, and real-world financial scenarios to validate system behavior under diverse conditions
• Perform regression testing after each build to identify regressions and ensure previously fixed issues remain resolved
• Validate reconciliation outputs by manually verifying Excel and PDF reports against expected results, with sharp focus on amount discrepancies, date accuracy, and ID-level matching
• Develop and maintain automated test frameworks using pytest or equivalent tools to increase test coverage and reduce manual testing overhead
• Document detailed test results and defect reports with clear reproduction steps, severity levels, and supporting evidence for engineering teams
• Collaborate with product and engineering teams to understand requirements, clarify test scenarios, and communicate quality metrics and blockers
• Sign off on data accuracy and report integrity before production releases, ensuring stakeholder confidence in reconciliation results

What We're Looking For

• 3+ years of professional QA testing experience, with preference for fintech or insurance domain expertise
• Demonstrated ability to write detailed, comprehensive test cases for complex, data-heavy financial workflows
• Advanced Excel proficiency to manually verify reconciliation outputs, including pivot tables, VLOOKUP, and data analysis functions
• Exceptional attention to detail with proven ability to identify amount, date, and ID-level discrepancies
• Strong communication skills and ability to document findings clearly for technical and non-technical stakeholders
• Experience working in Agile/Scrum environments with iterative testing cycles
• Comfortable working independently in a remote environment with self-directed time management

Nice to Have

• Experience testing AI-generated outputs for consistency, accuracy, and bias detection
• Proficiency with pytest, unittest, or other Python-based test automation frameworks
• Familiarity with reconciliation processes, data matching algorithms, or financial workflows
• Experience with CI/CD pipelines and automated testing integration
• Knowledge of SQL for data validation and test data creation
• Exposure to API testing or end-to-end testing tools
• Background in fintech, insurance, or regulated financial services

What We Offer

• Flexible work arrangement: 100% remote with core hours 2:30 PM - 11:30 PM
• Competitive compensation: Commensurate with experience and expertise
• Growth opportunities: Work on cutting-edge AI-driven financial technology with opportunities to expand your skill set
• Collaborative culture: Join a talented engineering team that values quality, precision, and continuous improvement
• Professional development: Access to learning resources and opportunities to grow your automation and technical testing expertise
• Impact-driven work: Your quality assurance directly protects users and ensures the reliability of critical financial systems