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Entry Level Catastrophe Modeling information

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$25K

$47.8K

$68.5K

How much do entry level catastrophe modeling jobs pay per year?

As of Jun 19, 2026, the average yearly pay for entry level catastrophe modeling in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry-level professionals in catastrophe modeling, and how can they effectively overcome them?

Entry-level catastrophe modelers often encounter challenges such as learning complex modeling software, understanding large and diverse datasets, and keeping up with evolving industry standards. To overcome these obstacles, new professionals should actively seek mentorship within their team, participate in relevant training sessions, and stay updated on the latest risk modeling technologies and methodologies. Collaboration with more experienced colleagues and clear communication within cross-functional teams are also crucial for efficiently addressing technical questions and ensuring accurate model outputs.

How to get into catastrophe modelling?

Entry level catastrophe modeling roles typically require a bachelor's degree in fields such as actuarial science, mathematics, engineering, or related disciplines. Gaining skills in programming languages like Python or R, understanding insurance and risk concepts, and obtaining relevant certifications such as the Associate in Risk Management (ARM) can improve prospects. Internships or entry-level positions in insurance or risk analysis firms also provide valuable experience.

Do cat models get paid?

Entry level catastrophe modeling roles are paid positions that typically offer salaries based on experience, education, and industry standards. Compensation can include base salary, benefits, and sometimes bonuses, with salaries increasing with skills in data analysis, risk assessment, and familiarity with modeling tools.

How much do catastrophe modelers make?

Entry-level catastrophe modelers typically earn between $60,000 and $80,000 annually, depending on location, education, and company size. With experience and advanced skills in modeling software and data analysis, salaries can increase to over $100,000.

What are the key skills and qualifications needed to thrive as an Entry Level Catastrophe Modeler, and why are they important?

To thrive as an Entry Level Catastrophe Modeler, you need strong analytical skills, a background in mathematics or statistics, and a relevant degree such as in actuarial science, engineering, or related fields. Proficiency with modeling software like RMS or AIR, GIS tools, and data analysis platforms such as SQL or Python is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with team members. These skills ensure the creation of accurate risk models, effective communication of findings, and support reliable decision-making in the insurance and reinsurance industries.

What is entry level catastrophe modeling?

Entry level catastrophe modeling involves using specialized software and data analysis to predict the financial impact of natural disasters, such as hurricanes, earthquakes, or floods, on insurance portfolios. Professionals in this role collect and interpret data, run catastrophe models, and help insurers or reinsurers estimate potential losses. This helps companies make informed decisions about risk management and pricing insurance products. Entry level positions typically focus on data preparation, running standard analyses, and supporting senior modelers while developing technical skills.

What is the difference between Entry Level Catastrophe Modeling vs Entry Level Actuarial Analyst?

AspectEntry Level Catastrophe ModelingEntry Level Actuarial Analyst
Required CredentialsTypically requires a degree in mathematics, statistics, or related fields; actuarial exams are not mandatoryRequires a degree in mathematics, statistics, or actuarial science; passing initial actuarial exams is common
Work EnvironmentPrimarily in risk modeling software environments, data analysis, and insurance companiesIn insurance companies, consulting firms, or government agencies, focusing on data analysis and financial modeling
Industry UsageUsed mainly in insurance, reinsurance, and catastrophe risk assessmentUsed across insurance, finance, and consulting sectors for risk and financial analysis

While both roles involve data analysis and risk assessment, Entry Level Catastrophe Modeling focuses on modeling natural disaster risks using specialized software, whereas Entry Level Actuarial Analyst emphasizes financial risk evaluation and passing actuarial exams. Both positions serve the insurance industry but differ in technical focus and credential requirements.

What skills do you need for catastrophe modeling?

Entry level catastrophe modeling roles require strong analytical skills, proficiency in statistical analysis, and knowledge of modeling software such as RMS or AIR. Familiarity with data management, programming languages like Python or R, and understanding of insurance or risk assessment concepts are also important.
More about Entry Level Catastrophe Modeling jobs
What are the most commonly searched types of Catastrophe Modeling jobs? The most popular types of Catastrophe Modeling jobs are:
What job categories do people searching Entry Level Catastrophe Modeling jobs look for? The top searched job categories for Entry Level Catastrophe Modeling jobs are:
Entry Level Catastrophe Modeling jobs near you
Infographic showing various Entry Level Catastrophe Modeling job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 86% Part Time, and 12% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

Software Engineer/Developer

Mackenzie Health Care

Wakefield, MA

Full-time

Posted 7 days ago

Job description

Company Description

Company Description

Great talent is both rare and valued....... the ability to recognize great talent is even more rare!

One premise remains constant, even with the technological advances over the past half-century: It takes Tier-1 Leadership & Talent to build Strong, Successful Organizations! That's where Mackenzie comes in.

Mackenzie was founded in 1992 to grow strong LifeScience, Animal Science, HealthCare and Technology companies with their most important asset - Talent, and to become the preeminent consulting firm in our space. Those goals have been accomplished time and time again as Mackenzie has been recognized simultaneously and in consecutive years (Business Journal Book of lists) as the Mid-Atlantics top firm. Along the way we have completed thousands of searches from the Boardroom to the C-Suite, and from the Sales Field to the Scientific Bench on both the Business and Manufacturing sides of an organization. Mackenzie has expanded Start-ups and Conglomerates locally, regionally, and nationally and filled just about every position in the organizational matrix.

Job Description

Software Engineer/Developer

This company needs someone to fill their Quantitative Catastrophe Model Developer position that will plan, design, develop, test, and debug modeling applications and services using Python.  In this position, you will be responsible for helping to improve the application development process and ensuring adherence to the proper standards and process as well as participate in and guide modeling application architectural decisions.

You will be called upon to: work with other Modelers to covert complex business requirements into technical designs; assist in the planning and monitoring of critical modeling systems within the production environment, and work with other Modelers to develop in-house catastrophe models.  You will be expected to explain and or simplify highly complex concepts to others and management.

Other tasks include:

* Be responsible for software development, testing, and maintenance of the models within a catastrophe modeling application using Python (Numpy), C and SQL.

* Be able to assist in the definition of and compliance with technical architectural standards on application as well as services development.

* Be able to work either individually or in small groups with other developers and provide solutions where there may not be detailed requirements.

* Understand the problems/aims, scope the requirements and design and implement the solution in an agile development environment.

Qualifications

* Numerate Bachelor's Degree (e.g. Mathematics, Physics, Engineering) or equivalent experience in Mathematics or Computer Science.

* A minimum of 3 years application development using Python and Numpy; alternatively prior experience working with in an object oriented language and extensive demonstrable experience with one of the following: MATLAB, R, S+ or Octave. An equivalent language may also be acceptable.

 Abilities to include:

*Experience of working with matrixes and arrays/vectors.  (Understanding dimensional matrix operations and manipulations).

*Stochastic simulation experience (in the area of pricing financial instruments)

*Have SQL experience as well as an understanding of XML and XSLT processing and manipulation

Pluses for consideration would include:

Understanding of insurance principles.

Prior experience working with AIR, RMS or EQE models

Catastrophe simulations

Prior exposure to natural catastrophe hazard modeling

Additional Information

Salary:  95k +  DOE sorry, no sponsors at this time

Email:  [email protected]

www.MackenzieSearchGroup.com

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