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Catastrophe Modeling Analyst Jobs (NOW HIRING)

Tmhcc

Senior Catastrophe Risk Analyst

Duluth, GA · Hybrid

Subject Matter Expert as a super user of commercial catastrophe models and related tools with ... ANALYSIS: * Provide analyses of property insurance exposure data as expert user of cat models.

Tmhcc

Lead Actuarial Risk Modeler, Cyber

Duluth, GA · On-site

A minimum of 5 years of relevant and progressive professional experience in cyber risk modeling, actuarial, or catastrophe modeling and analytics with proven track record in developing and validating ...

Tokio Marine HCC International

Subject Matter Expert as a super user of commercial catastrophe models and related tools with ... ANALYSIS: Provide analyses of property insurance exposure data as expert user of cat models.

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Catastrophe Modeling Analyst information

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$35.5K

$99.2K

$127K

How much do catastrophe modeling analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for catastrophe modeling analyst in the United States is $99,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a catastrophe modeling analyst?

A Catastrophe Modeling Analyst evaluates potential losses from natural and man-made disasters using specialized models and data analysis. They work with insurers, reinsurers, and risk management firms to assess exposure to risks like hurricanes, earthquakes, and floods. Their role involves collecting and analyzing data, running simulations, and interpreting results to inform underwriting and pricing decisions. Strong analytical skills, proficiency in catastrophe modeling software (like AIR, RMS, or CoreLogic), and knowledge of insurance and risk management are essential for success in this role.

What are the key skills and qualifications needed to thrive as a catastrophe modeling analyst?

To thrive as a Catastrophe Modeling Analyst, you need strong analytical skills, a solid background in mathematics or statistics, and a degree in a relevant field such as engineering, math, or actuarial science. Experience with catastrophe modeling software (e.g., RMS, AIR), GIS tools, and proficiency in programming languages like SQL or Python are highly valued, and relevant certifications can be advantageous. Attention to detail, effective communication, and problem-solving abilities help analysts interpret complex data and work collaboratively across teams. These skills ensure models are accurate and actionable, supporting organizations in assessing and managing risks from natural or man-made disasters.

What are some typical challenges faced by catastrophe modeling analysts in their day-to-day work?

Catastrophe Modeling Analysts often work with large, complex datasets and must ensure data accuracy and integrity while meeting tight deadlines, especially during peak periods like renewal seasons. They need to stay updated on the latest modeling technologies and methodologies as the field evolves rapidly with new types of risks and data sources. The role also requires balancing technical analysis with clear communication to stakeholders, such as underwriters or risk managers, who may not have a technical background. Successfully navigating these challenges helps analysts provide valuable insights for risk assessment and decision-making.

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Catastrophe Modeling Analyst jobs near you
Infographic showing various Catastrophe Modeling Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $99,157 per year, or $47.7 per hour.

Global Head of Catastrophe Risk Analytics

Philadelphia, PA • On-site

Starr Insurance Companies
See more jobs at Starr Insurance Companiesexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.

The Group Head of Catastrophe Risk Analytics is responsible for leading Catastrophe risk analytics activities across all of Starr Group. This critical leadership position acts as a thought leader and strategic partner, ensuring world-class approaches to catastrophe risk modeling, Risk Analytics, and helps build portfolio management framework that is aligned with underwriting and enterprise risk management strategies. The ideal candidate has deep expertise in catastrophe modeling, a strong analytical mindset, exceptional communication skills, and proven leadership experience.

Key Responsibilities:

  • Develop and execute the group-wide catastrophe risk analytics vision and strategy, ensuring alignment with underwriting strategy, corporate risk appetite and regulatory requirements.
  • Collaborate with underwriting, claims, actuarial, finance, and IT functions to deliver robust catastrophe risk insights that inform technical pricing, portfolio optimization, accumulation control, and capital management.
  • Lead group wide efforts to aggregate catastrophe risk, and deliver associated analytics that support development and execution of underwriting strategy
  • Lead, inspire, and mentor a team of analytics professionals, promoting collaboration, technical excellence, and innovation.
  • Evaluate emerging risks, trends, and technologies in catastrophe modeling and analytics, recommending adoption where appropriate.
  • Oversee the assessment of emerging risks (e.g., climate change, new perils) and evaluate/implement state-of-the-art analytics technology and innovation.
  • Partner with external vendors, data providers, and internal technology partners to develop and deploy optimized Catastrophe modeling workflows and toolset for production of risk analytics.

Qualifications:

  • Advanced degree in a relevant field (e.g., Actuarial Science, Statistics, Geophysics, Engineering, Applied Mathematics, or similar).
  • A minimum of 15 years' experience in catastrophe risk analytics, with significant exposure to both insurance and reinsurance business models.
  • Demonstrated experience in embedding advanced analytics and automation in catastrophe risk management processes.
  • In-depth understanding of capital modeling, risk appetites, reinsurance structures, and portfolio optimization.
  • Strong leadership and people management track record, including in diverse, global, matrixed organizations.
  • Deep expertise in utilization of vendor catastrophe models (RMS, AIR) for development of risk analytics.
  • Excellent interpersonal and communication skills; able to translate complex analytics into actionable business insights.
  • Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools.
  • Up-to-date knowledge of regulatory environments affecting catastrophe risk.
  • Strong programming and data science skills (e.g., Python, R, SQL).

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

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