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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
QA testingtest case writingExcel proficiencydata analysispytestunittestSQLAPI testingCI/CD pipelinesdata matching algorithms
Soft Skills
attention to detailcommunication skillsself-directed time managementcollaborationproblem-solving
