- Own test strategy and quality signal for underwriting decisioning, including rules changes, evidence ingestion, risk classification, and case outcomes.
- Design test scenarios that reflect real underwriting complexity including impairments, evidence sources, and table ratings.
- Validate rules engine behavior across releases, running regression on decision outcomes.
- Translate underwriting requirements into testable acceptance criteria with stakeholders before code is written.
- Build and extend API-level and data-level automated checks.
- Investigate production underwriting discrepancies and lead root cause analysis through to defect prevention.
SQLQuality Assurance