Head of Catastrophe Modeling

Wildfire Defense Systems, Inc.

. Lead Wildfire Defense Systems’ efforts to quantify wildfire risk and demonstrate the loss-reduction value of its services to insurance partners .

Posted 11/9/2026full-timeUnited StatesLead💰 $128,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in catastrophe modeling, risk assessment, and quantitative analysis to support insurance pricing and reinsurance strategies. Proficient in advanced statistical modeling and programming languages, with strong communication skills to convey complex insights to diverse stakeholders.

Highest-signal resume keywords

Catastrophe ModelingStatistical Modeling TechniquesPython ProgrammingP&C Insurance ExperienceGeospatial Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingRisk ManagementPricing MethodologiesVulnerability ModelingFinancial Loss EstimationEvent GenerationHazard CharacterizationPortfolio ManagementProbabilistic ModelingMachine Learning

Soft Skills

Strong Communication SkillsTeam LeadershipCollaboration

Tools & Technologies

VeriskCotalityRMSSQLR

Industry Keywords

Wildfire RiskInsurance PricingReinsurance StrategyCatastrophe Risk MetricsClimate Risk Modeling

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead Wildfire Defense Systems’ efforts to quantify wildfire risk and demonstrate the loss-reduction value of its services to insurance partners
Translate field and operational data into model-driven insights supporting carrier relationships, business growth, and operational decision-making
Design, develop, calibrate, validate, and maintain proprietary catastrophe models focused on wildfire and secondary perils
Develop methodologies for event generation, hazard characterization, vulnerability modeling, and financial loss estimation
Research emerging catastrophe risks and enhance modeling methodologies
Analyze accumulation risk and concentration management at geographic, peril, and portfolio levels
Produce catastrophe risk metrics including AAL, EP curves, TVaR, PML, and stress-test scenarios
Translate model outputs into loss cost assumptions and catastrophe loadings for insurance pricing models
Partner with actuarial, underwriting, and product teams on rate indications and pricing strategies
Lead catastrophe analytics supporting reinsurance purchasing decisions
Develop pricing methodologies for ceded and assumed reinsurance transactions
Support strategic planning, capital management, and growth initiatives through quantitative risk analysis
Evaluate and work alongside industry-standard vendor models and build proprietary analytics from WDS data
Communicate findings to executive leadership, insurance carriers, and reinsurance partners
Collaborate with data science, actuarial, operations, product, and client-facing teams
Build and lead a team of modeling and analytics professionals as the function grows
Report technically to the Data Science Manager

Requirements

What you’ll need

Advanced degree (MS or PhD) in Statistics, Actuarial Science, Mathematics, Engineering, or a related quantitative field
7+ years of P&C insurance experience related to catastrophe modeling, exposure and risk management, pricing/reserving, and reinsurance strategy
Familiarity with functionality and I/O of major CAT model vendors (Verisk, Cotality, RMS)
Experience supporting insurance pricing, portfolio management, and reinsurance negotiations
Advanced statistical modeling techniques
Proficiency in Python, R, SQL, or comparable analytical programming languages
Strong understanding of catastrophe risk concepts, probabilistic modeling, and insurance/reinsurance structures
Strong communication skills with the ability to explain complex technical concepts to non-technical audiences
Knowledge of geospatial analytics, machine learning, and climate risk modeling techniques
Must be able to lift 15 lbs

Benefits

Comp & perks

Hybrid or remote work arrangement, subject to WDS flexible work policy and business needs
Occasional travel for team meetings, industry conferences, regulatory hearings, or client engagements
Equal employment opportunities and anti-discrimination protections