CAT Modeling Analyst

Overview

This full-time, remote position involves developing and managing a catastrophe modeling program within the insurance industry. The role requires collaboration across multiple departments including Finance, Underwriting, Actuarial, Risk, Data Science, and IT to enhance data quality, modeling accuracy, and risk insight delivery. The catastrophe modeling analyst will lead portfolio-level analyses such as probable maximum loss (PML) calculations, property aggregations, profitability, and accumulation zone analyses.

Responsibilities

• Gather, validate, and reconcile exposure data across assigned lines of business (property, casualty, specialty lines), ensuring consistency across underwriting, policy, and financial systems
• Serve as the subject matter expert on catastrophe model interpretation and decision-making
• Ensure modeled results are transparent, repeatable, and reliable with clear documentation of inputs, assumptions, and outputs
• Manage the full lifecycle execution of enterprise catastrophe models using commercially licensed software to produce loss distributions and risk metrics such as Average Annual Loss (AAL), Occurrence Exceedance Probability (OEP), Aggregate Exceedance Probability (AEP) curves, and return period loss estimates
• Document model assumptions, limitations, methodologies, and version changes; assess and communicate impacts of model updates on portfolio results
• Interpret and highlight key exposures, loss drivers, and uncertainties, translating results into actionable insights
• Analyze catastrophe modeling results in the context of reinsurance structures and purchases to support optimization and renewal discussions
• Provide decision-support analytics to inform risk appetite, portfolio management, and capital allocation by translating complex modeling results into strategic recommendations
• Communicate results and recommendations independently to department and executive leadership through reports, presentations, and stakeholder discussions
• Present information to internal and external stakeholders including regulators and rating agencies
• Support Risk and Investment Committees as needed
• Collaborate closely with cross-functional teams to improve data quality, modeling effectiveness, and risk insight delivery
• Translate model outputs into practical insights for underwriting to improve risk selection and decision-making
• Develop enabling materials such as playbooks, training sessions, and explainers to make catastrophe concepts accessible
• Own model version control and manage formal change processes for model transitions
• Provide thought leadership and mentoring to team members supporting catastrophe modeling and analytics

Required Qualifications

• Master’s degree in Finance, Risk Management, Economics, Analytics, Mathematics, Meteorology, or related quantitative field with 4 years of experience in catastrophe model deployment, validation, or governance
• OR Bachelor’s degree in the above fields with 6 years of relevant experience
• OR 8 years of experience in statistics, mathematics, or quantitative analytics

Preferred Qualifications

• Experience with commercial catastrophe modeling platforms, preferably RMS, including hazard, vulnerability, and financial modules
• Experience in catastrophe model development
• Understanding of reinsurance structures and analytics, including treaty and facultative arrangements
• Exposure to regulatory, rating agency, or reinsurance partner analytics and reporting
• Certified Catastrophe Risk Management Professional (CCRMP) or Certified Specialist in Catastrophe Risk (CSCR) credentials

Knowledge, Skills, and Abilities

• Strong analytical and critical thinking skills with ability to assess data and results for reasonability
• Understanding of catastrophe perils such as severe convective storms, hurricanes, and wildfires, and their loss drivers
• Familiarity with catastrophe model output metrics including AAL, OEP/AEP curves, and return period losses, with ability to communicate tail risk and model uncertainty
• Solid underwriting and reinsurance knowledge, including insurance financial accounting
• Ability to analyze scenarios, likelihoods, and sensitivities
• Strong verbal and written communication skills, including presentation and influencing abilities
• Ability to work collaboratively across teams and independently
• Strong organizational skills and attention to detail
• Proficiency with Excel and Microsoft Office; comfort working with large datasets and interest in automating analyses using tools such as Alteryx, SQL, or Python
• Ability to understand and operate within organizational policies, processes, and risk frameworks

Compensation and Benefits

Base pay is determined by labor market data and candidate qualifications relative to role requirements. The compensation package includes comprehensive health and wellness benefits designed to support financial, health, career, and retirement goals, promoting flexibility and work-life balance.

Work Authorization

Employment is limited to individuals legally authorized to work in the United States. Sponsorship is not provided. Candidates requiring sponsorship now or in the future, including those on temporary visas such as E, F-1 (including OPT or CPT), H-1, H-2, L-1, B, J, or TN, are not eligible.

Equal Opportunity

The employer maintains a policy of non-discrimination in all employment practices including recruiting, hiring, training, compensation, promotions, and other terms and conditions of employment. Discrimination based on race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability is prohibited.