Director of Catastrophe Modeling & Analytics

Ryan Specialty; Chicago (IL); On-site; USD 116,000 - 145,000; Full time

Benefits offered by this job

Comprehensive benefits package

Paid time off

Job summary

Ryan Specialty seeks a Director I of Catastrophe Modeling to lead catastrophe risk analytics for the Central Underwriting organization, at the intersection of modeling science, data engineering, and underwriting strategy.

The role owns technical execution of cat modeling (RMS, AIR) and the tooling, pipelines, and automation that make that modeling fast, accurate, and scalable — while building and managing the team that delivers it and translating model output into underwriting guidance for

Qualifications

• 8+ years of catastrophe modeling, portfolio risk analytics, or cat-modeling-adjacent data engineering.
• Hands-on proficiency in RMS and/or AIR Touchstone for exposure prep and results interpretation.
• Strong SQL skills with Python, R, VBA, and/or Alteryx automation.
• Track record translating model output into underwriting or portfolio decisions.
• Ability to lead teams through real-time catastrophe event response.

Responsibilities

• Build, mentor, and lead a team blending catastrophe modeling analysts and automation developers.
• Set technical roadmap for cat modeling, data engineering, and reporting tooling.
• Translate model output into underwriting guidance for leadership and appetite decisions.
• Oversee portfolio rollups and external deliverables to carriers and reinsurers.
• Lead vendor engagement for RMS, AIR, and analytics platforms; drive tooling improvements.

Skills

Leadership

SQL

Python

R

VBA

Alteryx

Communication

Tools

RMS

AIR Touchstone

Alteryx

Azure Databricks

Delta Lake

Job description

Ryan Specialty seeks a Director I of Catastrophe Modeling to lead catastrophe risk analytics for the Central Underwriting organization, at the intersection of modeling science, data engineering, and underwriting strategy.

The role owns technical execution of cat modeling (RMS, AIR) and the tooling, pipelines, and automation that make that modeling fast, accurate, and scalable — while building and managing the team that delivers it and translating model output into underwriting guidance for