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Catastrophe Modeler Jobs in Florida (NOW HIRING)

Actuary

Sarasota, FL

$160K - $190K/yr

Work with AIR and other catastrophe model output to assess exposure concentrations, catastrophe load, and risk-adjusted returns. * Evaluate reinsurance program impacts and support related reporting ...

Experience with Power BI, Tableau, catastrophe modeling, or GIS tools is a plus EEO Compliance Olympus Insurance Company is an equal opportunity employer committed to fostering a diverse, inclusive ...

Senior Property Underwriter

Tampa, FL · On-site

$89K - $106K/yr

Monitor portfolio performance, loss trends, catastrophe aggregation, underwriting profitability ... Collaborate with reinsurers during property modeling, renewals, and audit activities by preparing ...

Evaluates performance and pricing of insurance and reinsurance programs and analyzes their financial impact in coordination with catastrophe risk modeling teams * Drives reserving process including ...

Data Engineer

Ormond Beach, FL · On-site

$100K - $120K/yr

Design, develop, and maintain relational databases, data models, data warehouses, and scalable ... Participate in business continuity and catastrophe response efforts as needed, including support ...

Data Engineer

Ormond Beach, FL · On-site

$95 - $135/hr

Design, develop, and maintain relational databases, data models, data warehouses, and scalable ... Participate in business continuity and catastrophe response efforts as needed, including support ...

2027 Summer Associate (Intern)

Tampa, FL · On-site

$14.25 - $19/hr

We provide immediate and strategic guidance to policyholders following a catastrophe. Our BIC experts meticulously analyze financial data and operational records, develop robust financial models, and ...

Showing results 41-60

Catastrophe Modeler information

See Florida salary details

$16

$30

$57

How much do catastrophe modeler jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for catastrophe modeler in Florida is $30.14, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $32.50 per hour, depending on experience, location, and employer.

What is a catastrophe modeler?

Catastrophe modelers are professionals who use specialized computer models to estimate the potential financial impact of natural and man-made disasters, such as hurricanes, earthquakes, floods, and terrorism. They analyze geographic, structural, and historical data to predict the likelihood and severity of catastrophic events. Their work helps insurance companies, reinsurers, and other organizations assess risk, set premiums, and develop strategies to manage large-scale losses. Catastrophe modelers play a critical role in the insurance and risk management industries by providing insights that inform decision-making and disaster preparedness.

How does a catastrophe modeler typically collaborate with underwriters and actuaries during the risk assessment process?

Catastrophe Modelers work closely with underwriters and actuaries to analyze and interpret risk data for natural disasters such as hurricanes, earthquakes, or floods. They provide model outputs and explain the underlying assumptions, helping underwriters assess potential exposures and price insurance products accurately. Regular meetings and data-sharing sessions are common, ensuring that all parties are aligned on risk profiles and mitigation strategies. Effective communication skills are essential, as modelers must translate complex technical results into actionable insights for decision-making.

What are the key skills and qualifications needed to thrive as a catastrophe modeler, and why are they important?

To thrive as a Catastrophe Modeler, you need a strong background in mathematics, statistics, and risk analysis, typically supported by a degree in a quantitative field such as actuarial science or engineering. Familiarity with catastrophe modeling software (e.g., RMS, AIR), GIS tools, and programming languages like Python or SQL is often required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for accurately assessing disaster risks, supporting insurance decisions, and communicating complex findings to stakeholders.

What is the difference between Catastrophe Modeler vs Actuary?

AspectCatastrophe ModelerActuary
Required CredentialsTypically requires degrees in risk management, statistics, or related fields; certifications like CPCU or ARM are commonRequires degrees in mathematics, statistics, or actuarial science; professional certifications such as ASA, FSA, or ACAS are essential
Work EnvironmentPrimarily in insurance companies, consulting firms, or risk modeling firms; focused on analyzing natural disasters and large-scale risksIn insurance companies, consulting firms, or government agencies; focused on financial risk assessment and insurance pricing
Industry UsageUsed mainly in property and casualty insurance, reinsurance, and risk managementUsed across insurance, pension planning, and financial services

While both roles involve risk analysis and require strong quantitative skills, Catastrophe Modelers focus on modeling natural disaster risks using specialized software, whereas Actuaries assess financial risks and pricing strategies, often with a broader scope of insurance products.

How do you become a catastrophe modeler?

To become a catastrophe modeler, typically a bachelor's degree in fields like actuarial science, engineering, mathematics, or related areas is required. Gaining experience with risk assessment, modeling software, and industry certifications such as the Associate of the Casualty Actuarial Society (ACAS) can enhance prospects. Strong analytical skills and knowledge of natural hazards and insurance are also important.

How much do catastrophe modelers make?

Catastrophe modelers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior professionals with specialized skills or certifications can earn higher salaries, especially in insurance and risk management sectors.

What are popular job titles related to Catastrophe Modeler jobs in Florida?

For Catastrophe Modeler jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Catastrophe Modeler jobs in Florida look for?

The top searched job categories for Catastrophe Modeler jobs in Florida are:

Infographic showing various Catastrophe Modeler job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $62,694 per year, or $30.1 per hour.

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol's products offer parametric coverage which pays out based on objective data  triggers rather than subjective assessment of loss. Arbol's key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage.

Arbol is building an AI-enabled homeowners insurance platform focused on underserved coastal and catastrophe-exposed markets. We are looking for a talented actuary to lead pricing, reserving, reinsurance analytics, and portfolio analytics while working side-by-side with our AI and engineering teams to build the next generation of actuarial workflows.In this role, you will work primarily on homeowners' insurance in coastal southern states, with opportunities to support expansion into new lines and territories. A major focus will be translating complex actuarial judgment, workflows, and analyses into scalable AI-enabled tools that improve speed, rigor, and decision-making across the business. The ideal candidate takes ownership, is fluent in the right tools required for the task (Excel, Python, Claude Code, etc.), and is excited to work at the intersection of actuarial science, insurance operations, and applied AI.  

What You'll Be Doing

Pricing & Rate Indications

  • Develop rate indications and pricing analyses (e.g., territory, deductible, and other rating factors).

  • Monitor rate adequacy, loss trends, inflation impacts, and emerging experience.

  • Build and maintain pricing tools, exhibits, and documentation used for internal decisions and regulatory filings.

Reserving & Loss Analytics

  • Perform quarterly reserve analyses (e.g., triangles, ultimate loss selections, IBNR, diagnostics) for homeowners and related lines.

  • Monitor loss emergence, claim severity/frequency trends, and CAT vs non-CAT performance.

  • Partner with Claims and Finance to reconcile results, investigate drivers, and improve data quality.

Portfolio Management & Performance Monitoring

  • Build recurring dashboards to monitor portfolio performance and emerging trends

  • Work with AIR and other catastrophe model output to assess exposure concentrations, catastrophe load, and risk-adjusted returns.

  • Evaluate reinsurance program impacts and support related reporting and analytics.

  • Support scenario analyses, including catastrophe load, trend, rate change, and mix sensitivities.

 Actuarial Process Automation & AI Partnership

  • Learn Lilypad's actuarial processes end-to-end and identify opportunities for automation (e.g., gross-to-net loss calculations, reserve workflows).

  • Serve as a bridge between the actuarial and AI/engineering teams, translating actuarial logic into requirements that can be built into automated tools.

  • Write and maintain Python-based workflows to streamline recurring analyses; collaborate with the AI team on tool development.

 Cross-Functional Support

  • Collaborate with Underwriting, Claims, Finance, Data/Engineering, and Leadership on special projects (product changes, underwriting guidelines, new territories/segments, vendor evaluation, etc.).

  • Contribute to process improvements, automation, and better controls/documentation.

What You'll Need
  • 5-8 years of P&C actuarial experience. ACAS/FCAS credential
  • High ownership and self-starter mindset; able to drive work forward with limited structure.
  • Strong proficiency in Excel and Python, with the ability to build clean, repeatable analyses.Strong analytical and problem-solving skills; able to communicate findings clearly to non-technical stakeholders.
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related quantitative field
What's Great to Have
  • Experience building repeatable analytics (dashboards, automated data pulls, version-controlled workflows).
  • Homeowners experience incl: catastrophe exposure management, weather/CAT analytics, inflation/trend work, or rate filing support.
  • Experience with reserving methods (e.g., chain ladder/BF/Cape Cod style approaches) and/or pricing indications.
  • Knowledge of policy/claims data structures and common insurance KPIs.
$160,000 - $190,000 a year
 
Essential Job Functions & Physical Requirements
  • Ability to sit for extended periods of time while working at a computer, with or without reasonable accommodation
  • Ability to use a computer, keyboard, mouse, and standard office equipment (e.g., phone, printer, scanner)
  • Ability to view a computer screen for prolonged periods, with or without reasonable accommodation
  • Ability to communicate effectively in person, by phone, and via email
  • Ability to occasionally stand, walk, bend, and reach within an office environment
  • Ability to lift and/or move up to 10-15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodation
  • Ability to perform repetitive motions, such as typing or data entry
  • Ability to maintain focus and attention while performing detailed tasks
 
Interested, but you don't meet every qualification? Please apply!
Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement.
 
Accessibility
Arbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact [email protected]
 
Benefits
Arbol is proud to offer its full-time employees competitive compensation and equity in a high-growth startup.  Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health.  We offer a 401(k) match to support your future, and flexible PTO for you to relax and recharge. 
 
Equal Opportunity Employer
Arbol is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, or any other legally protected status.
 
Arbol participates in the E-Verify program to confirm employment eligibility.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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