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Catastrophe Modeling Jobs in Florida (NOW HIRING)

Arbol

Actuary

Miami, FL

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Willis Towers Watson

Senior Risk Consultant

Miami, FL · On-site

$130 - $175/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SRC is a diverse team, with a global footprint and consists of actuaries, engineers, natural catastrophe modelers and enterprise risk management specialists. SRC helps companies identify, quantify ...

New

AmCoastal

Associate Actuary

Saint Petersburg, FL · On-site

Analyzes catastrophe losses, large-loss activity, and claim development patterns. * Develops ... Develops and enhances actuarial models, tools, and reporting processes. * Identifies opportunities ...

Thinkbrg

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 ...

Paul Davis Restoration, Inc.

Review Team Manager

Jacksonville, FL · On-site

$65K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... claims, catastrophe events, team member absences or shortages, and as requested based on ... Ability to assertively embrace the continuous improvement model and provide feedback necessary to ...

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Catastrophe Modeling information

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How much do catastrophe modeling jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for catastrophe modeling 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 are some common challenges faced by professionals in catastrophe modeling, and how can they be addressed?

Professionals in catastrophe modeling often encounter challenges such as managing large and complex datasets, staying current with emerging risks (like climate change), and communicating technical findings to non-technical stakeholders. Addressing these requires strong analytical skills, ongoing professional development, and effective collaboration with underwriters, actuaries, and risk managers. Building expertise in specialized software and maintaining open communication channels with other teams can help overcome these obstacles and contribute to successful risk assessments.

What is catastrophe modeling?

Catastrophe modeling is the process of using computer models to estimate the potential losses that could result from natural or man-made disasters, such as hurricanes, earthquakes, floods, or terrorist attacks. These models analyze historical data, scientific research, and current exposure information to predict the likelihood and potential severity of catastrophic events. Insurers, reinsurers, and other organizations use catastrophe modeling to assess risk, price insurance policies, and prepare for possible large-scale losses.

How to get a job in catastrophe modeling?

The qualifications you need to obtain a job in catastrophe modeling include a bachelor’s degree in a science field related to catastrophes, such as geology, meteorology, or environmental science. Insurance-specific degrees, such as actuarial sciences, are also acceptable. Advanced degrees in actuarial science, math, or another catastrophe-related field may help you stand out in the job market. Practice using industry software to run data analysis to become proficient with the application. Some start their careers in entry-level positions in the insurance industry to learn about risk evaluation before moving into catastrophe modeling.

What is the difference between Catastrophe Modeling vs Actuary?

AspectCatastrophe ModelingActuary
Required CredentialsTypically requires degrees in risk management, insurance, or related fields; certifications like CPCU or ARM are commonRequires a degree in mathematics, statistics, or actuarial science; professional actuarial certifications (e.g., ASA, FSA) are essential
Work EnvironmentPrimarily in insurance, reinsurance, or risk management firms; involves data analysis and modelingIn insurance companies, consulting firms, or government agencies; involves data analysis, financial modeling, and risk assessment
Industry UsageUsed to assess and quantify natural disaster risks for insurance underwriting and risk managementUsed to evaluate financial risks, reserve calculations, and pricing in insurance and pension industries

While both roles involve risk analysis and data modeling, catastrophe modeling focuses specifically on natural disaster risks, whereas actuaries assess a broader range of financial risks. Both careers require strong quantitative skills and work within the insurance industry, but their specific applications and certifications differ.

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 data analysis, typically supported by a degree in engineering, actuarial science, or a related field. Proficiency in modeling software (such as RMS or AIR), programming languages (like Python or R), and familiarity with GIS systems are commonly required. Critical thinking, attention to detail, and effective communication are valuable soft skills for interpreting data and conveying risk insights to stakeholders. These skills and qualifications are crucial for producing accurate risk assessments that inform insurance, reinsurance, and disaster preparedness strategies.

How much do catastrophe modeling professionals make?

Catastrophe modeling professionals typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, education, and location. Senior roles or those with specialized skills in risk analysis and modeling tools can earn higher salaries, often exceeding $150,000 annually.

What do catastrophe modeling professionals do?

Catastrophe modeling professionals analyze data to assess the financial impact of natural and man-made disasters, such as hurricanes, earthquakes, and floods. They develop models using specialized software to estimate potential losses for insurance companies and other stakeholders, often requiring skills in statistics, risk assessment, and data analysis.
More about Catastrophe Modeling jobs
What are the most commonly searched types of Catastrophe Modeling jobs in Florida? The most popular types of Catastrophe Modeling jobs in Florida are:
What are popular job titles related to Catastrophe Modeling jobs in Florida? For Catastrophe Modeling jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Catastrophe Modeling jobs in Florida look for? The top searched job categories for Catastrophe Modeling jobs in Florida are:
What cities in Florida are hiring for Catastrophe Modeling jobs? Cities in Florida with the most Catastrophe Modeling job openings:
Catastrophe Modeling jobs near you
Infographic showing various Catastrophe Modeling job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $62,694 per year, or $30.1 per hour.

Actuary

Arbol

Miami, FL

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 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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