Catastrophe Modeler

NO WORK FROM HOME OPTION.

Catastrophe Modeler

The Catastrophe Modeler will be part of an cross functional team (mainly Actuarial, IT and Underwriting) that will build a pricing tool.

Location:

Type:

Responsibilities

• Cleanse, validate, and map exposure data from underwriting submissions for input into catastrophe modeling platforms (e.g., Verisk Touchstone).
• Run catastrophe models and interpret model outputs for various perils (hurricane, earthquake, flood, etc.) and geographies.
• Perform geocoding, address correction, and standardization on client/portfolio data.
• Provide technical support to underwriters and brokers on risk analysis, accumulations, and pricing.
• Collaborate with global and cross-functional teams on scenario analysis, stress testing, and AM Best-aligned reporting.
• Analyze and document exposure changes, model assumptions, and reporting results.
• Support data quality initiatives, process documentation, and contribute to the continuous improvement of data standards and workflow automation.
• Participate in research and development to enhance analytics, explore new models, and integrate new data sources as directed.
• Prepare reports, dashboards, and presentations for internal stakeholders on exposure summaries and risk insights.
• Stay up to date with catastrophe modeling advances, regulatory requirements (e.g., AM Best, solvency-related), and emerging risks.

Qualifications

• Bachelor's or Master's degree in a quantitative field (Engineering, Mathematics, Statistics, Earth Sciences, Computer Science, or related discipline).
• Up to 3 years of experience (Entry level) or 47 years (Mid level) or more than 8 years (Senior level) in catastrophe risk modelling, exposure management, or re/insurance analytics.
• Hands-on experience with one or more leading catastrophe modeling platforms (preferably Verisk Touchstone).
• Knowledge of re/insurance processes, property or specialty lines, and risk transfer concepts is preferred.
• Proficiency in MS Excel required; experience with SQL, Access, Python, or R is an advantage.
• Familiarity with geocoding, GIS tools, and mapping platforms a plus.
• Understanding of regulatory frameworks (AM Best ERM, solvency, etc.) or willingness to learn.

Key Skills & Competencies

• Excellent quantitative and analytical skills with strong attention to detail.
• Practical experience in data cleaning, validation, and manipulation.
• Ability to interpret model output and derive actionable risk insights.
• Solid written and verbal communication skills for explaining complex analytics to diverse audiences.
• Good organizational and time management abilities; can handle multiple projects with deadlines.
• Team player mindset and willingness to collaborate across geographies.
• Proactive, self-driven, and solutions-oriented attitude.

Preferred/Desirable

• Exposure management, and group-level risk aggregation.
• Prior experience supporting underwriters or actuarial teams.
• IT Product development experience is highly desirable.
• Industry certifications (AIR CCM, actuarial, or risk analytics) are a plus