Arbol

Claims Specialist

• Apply strong critical-thinking and problem-solving skills to manage property claims
• Deliver compassionate, timely, and solutions-focused support during moments of loss
• Leverage emerging technologies to streamline workflows
• Quickly adjust to new situations and emerging technologies
• Handle claims from inception to resolution
• Review and determine proper policy coverages
• Identify fraud and recovery opportunities
• Engage and monitor the work of outside vendors

Claims Examiner II – Residential and Commercial Property Claims

Actuary

• Support development of rate indications and pricing analyses (e.g., territory, deductible, and other rating factors).
• Assist with monitoring rate adequacy, loss trends, inflation impacts, and emerging experience.
• Build and maintain pricing tools, exhibits, and documentation used for internal decisions and regulatory filings.
• Assist in quarterly reserve analyses (e.g., triangles, ultimate loss selections, IBNR, diagnostics) for homeowners and related lines.
• Monitor loss emergence, claim severity/frequency trends, and CAT vs non-CAT performance.
• Partner with Claims and Finance to reconcile results, investigate drivers, and improve data quality.
• Support reinsurance reporting and analytics (e.g., ceded loss estimates, billing, treaty performance monitoring).
• Help evaluate reinsurance program impacts on earnings volatility, capital, and tail risk.
• Build recurring dashboards and deep-dives on portfolio performance: loss ratio decomposition, retention, mix shift, underwriting actions, and segment performance.
• Support scenario analyses (e.g., catastrophe load sensitivity, trend sensitivity, rate change impacts).
• Collaborate with Underwriting, Claims, Finance, Data/Engineering, and Leadership on special projects (product changes, underwriting guidelines, new territories/segments, vendor evaluation, etc.).
• Contribute to process improvements, automation, and better controls/documentation.

Actuarial Analyst

Backend Engineer

• Build pipelines for structured and unstructured data including docs, PDFs, emails, and logs
• Design and implement backend services that support LLM workflows: retrieval, indexing, embeddings, batch processing, and job queues
• Own data quality end to end: validation, deduping, lineage, versioning, and reproducible runs
• Create observability for pipelines and LLM systems to surface issues quickly and identify root causes clearly

Claims Examiner II – Residential and Commercial Property Claims

Actuarial Analyst

Backend Engineer – AI Infrastructure