Hybrid Property & Casualty Actuarial Analyst – Pricing & Modeling

OpenKrill; United States; Hybride; USD 150 000 - 200 000; Plein temps

Avantages offerts par ce poste

Generous paid time off

401(k) matching

Health insurance

Tuition reimbursement

Résumé du poste

EPIC Insurance Brokers & Consultants in New York City is seeking an Actuary to build and validate pricing models for property and casualty work, turning model output into broker-ready recommendations for risk managers and CFOs.

This hands-on role involves data work, model development, and collaboration with a dispersed team; ACAS preferred, property pricing experience valued, and a flexible hybrid schedule across NYC, San Francisco, or Seattle.

Qualifications

• 2+ years of actuarial work with property pricing or modeling.
• Real property modeling experience strongly preferred.
• Strong Excel + at least one of Python, R or SQL; comfortable with big datasets.
• Experience using AI tools to assist analysis and drafting narratives.
• Ability to explain complex models to brokers and clients.

Responsabilités

• Build, validate, and maintain property and casualty pricing models.
• Produce rates, layer pricing, and TCOR views for placements.
• Clean data, loss runs, and policy schedules to support analysis.
• Convert model output into broker-ready narratives and slides.
• Collaborate with producers, practice leaders, and clients to shape programs.
• Support RFPs and new business opportunities with actuarial insights.
• Leverage AI to accelerate work and stress-test models.
• Maintain documentation for auditability and reproducibility.

Connaissances

ACAS preferred

Property pricing

Big data handling

Excel

Python

R

SQL

AI tools usage

Clear communication

Formation

Bachelors in actuarial science, math, stats

ACAS credential (preferred)

Outils

Excel

Python

R

SQL

Power BI

Tableau

ArcGIS

Moody's RMS

Verisk AIR

Archipelago

Copilot

Claude

Description du poste

EPIC Insurance Brokers & Consultants in New York City is seeking an Actuary to build and validate pricing models for property and casualty work, turning model output into broker-ready recommendations for risk managers and CFOs.

This hands-on role involves data work, model development, and collaboration with a dispersed team; ACAS preferred, property pricing experience valued, and a flexible hybrid schedule across NYC, San Francisco, or Seattle.