Senior Catastrophe Risk Manager
Ryan SpecialtyAbout the role
Position Summary
The Senior Catastrophe Risk Manager is responsible for assessing, managing, and mitigating risks associated with natural and man-made catastrophes. This role requires a deep understanding of risk modeling, data analysis, and insurance principles. The Senior Catastrophe Risk Manager will work closely with various stakeholders to develop strategies that minimize financial losses and ensure business continuity.What will your job entail?
Job Description
What You’ll Do:
· Perform catastrophe modeling using RMS and AIR across multiple lines of business.
· Prepare, validate, and cleanse exposure data for modeling.
· Produce portfolio-level metrics such as PML, AAL, exposed limits, and tail-risk metrics.
· Build SQL queries, scripts, and tools to support automation and reporting.
· Provide technical and modeling support to underwriting, operations, and analytics teams.
· Support catastrophe event response with exposure summaries and loss estimation.
· Maintain capacity tracking dashboards and reports.
Tech Stack You’ll Use
· Modeling Platforms: RMS (Risk Modeler, Underwrite IQ), AIR (Touchstone)
· Languages & Tools: SQL, Python (preferred), Excel/VBA, Alteryx
· Data: Exposure schedules, shapefiles, ELTs/EDMs, event results
· Cloud (Preferred): Azure Databricks, Azure Data Lake
Qualifications
Required:
· 5+ years of catastrophe modeling or portfolio risk experience.
· Proficiency in RMS and/or AIR Touchstone.
· Strong SQL skills and experience with large datasets.
· Ability to support real-time event response activities.
· Strong communication skills.
Preferred / Nice-to-Have:
· Experience with Python or R for data analysis and automation.
· Knowledge of reinsurance structures and portfolio risk metrics (PML, AAL, TVaR).
· Exposure to Azure Databricks or other cloud-based analytics platforms.
· Experience automating workflows using Alteryx or similar tools.
· Familiarity with geospatial data handling and mapping.
Core Competencies:
· Analytical Thinking: Ability to interpret complex model outputs and portfolio metrics.
· Attention to Detail: Ensures accuracy in exposure data and modeling assumptions.
· Communication: Clearly conveys technical insights to non-technical stakeholders.
· Problem-Solving: Develops creative solutions for modeling challenges and data issues.
Example Projects You’ll Tackle:
· Develop automated SQL scripts to aggregate RMS/AIR results for portfolio rollups.
· Create dashboards to monitor capacity utilization and risk metrics across regions.
· Enhance event response workflows for rapid exposure and loss estimation.
· Prototype data pipelines for integrating RMS/AIR outputs into cloud environments.
Success Metrics (90–180 Days):
· Improved turnaround time for portfolio modeling and reporting.
· High accuracy in exposure validation and loss estimation.
· Adoption of automated tools and dashboards by analytics team.
· Effective support during catastrophe event response cycles.
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This
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