Teams at ChiStats

Provide defect triage and support analysis for the US Commercial Insurance business. Define and track KPIs, process and query large datasets, validate analytical outputs, gather requirements, consult with cross-functional teams and end users, and conduct ad hoc analyses. The role requires clear communication with technical and non-technical stakeholders and flexible shifts aligned with US business hours.

Validates data movement, mappings, transformations, APIs, migrations, AI-agent workflows, business rules, guardrails, and user-interface outputs. Develops integration, regression, edge-case, and AI-output tests; verifies data integrity and schema conformance; evaluates agent decisions, tool usage, fallbacks, hallucinations, and human-review handoffs. Investigates defect sources across systems and communicates quality risks and findings to product, engineering, data, and business stakeholders.

Lead and mentor a Python development team, manage client communication, and deliver scalable, production-grade software. Responsibilities include designing frameworks, developing full-stack applications and pipelines, collaborating with DevOps, QA, and Product, enforcing code quality through reviews and testing, resolving performance and production issues, and documenting architecture and workflows.