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Remote Catastrophe Modeling Jobs in Worcester, MA

Remote Catastrophe Modeling information

See Worcester, MA salary details

$22

$40

$76

How much do remote catastrophe modeling jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote catastrophe modeling in Worcester, MA is $40.25, according to ZipRecruiter salary data. Most workers in this role earn between $31.20 and $43.41 per hour, depending on experience, location, and employer.

What is remote catastrophe modeling?

Remote catastrophe modeling is the process of using specialized software and data analytics to estimate the potential financial impact of natural and man-made disasters, such as hurricanes, earthquakes, or floods, while working from a location outside of a traditional office. Catastrophe modelers analyze risk data, develop scenarios, and generate reports for insurance, reinsurance, or risk management purposes. Working remotely, these professionals collaborate with teams and clients virtually, leveraging technology to access and interpret complex datasets. This role is essential in helping organizations prepare for and mitigate the effects of catastrophic events.

How does remote catastrophe modeling typically collaborate with underwriting and risk management teams?

Remote catastrophe modelers frequently partner with underwriting and risk management teams by providing detailed risk analyses and simulation outputs. These collaborations often involve virtual meetings to discuss model findings, clarify data requirements, and adjust assumptions based on real-time feedback. Effective communication and clear documentation are critical, as modelers help translate complex data into actionable insights for decision-making. Remote roles leverage collaboration tools and cloud-based modeling platforms to ensure seamless teamwork across locations.

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

To excel in Remote Catastrophe Modeling, you need strong analytical skills, a background in mathematics, statistics, or engineering, and experience with risk assessment, typically supported by a relevant degree. Familiarity with catastrophe modeling software (like RMS or AIR), GIS tools, and proficiency in programming languages such as Python or R are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting model results and collaborating with remote teams. These competencies are vital for delivering accurate risk analyses that inform insurance decisions and disaster preparedness strategies.

What is the difference between Remote Catastrophe Modeling vs Remote Data Analyst?

AspectRemote Catastrophe ModelingRemote Data Analyst
Required CredentialsDegree in actuarial science, statistics, or related field; certifications like FCAS or ARMDegree in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications
Work EnvironmentInsurance, reinsurance, or risk management firms; primarily analytical and modeling tasksVarious industries including finance, healthcare, marketing; data analysis and reporting
Industry UsageCommon in insurance and reinsurance sectors for risk assessmentWidespread across multiple sectors for data-driven decision making

Remote Catastrophe Modeling involves assessing and predicting risks related to natural disasters using specialized models, primarily in insurance and reinsurance industries. Remote Data Analysts focus on analyzing data sets to inform business decisions across various sectors. While both roles require strong analytical skills and proficiency with data tools, catastrophe modeling emphasizes risk assessment for natural hazards, whereas data analysis covers broader data interpretation tasks.

What are the most commonly searched types of Catastrophe Modeling jobs in Worcester, MA?

The most popular types of Catastrophe Modeling jobs in Worcester, MA are:

What are popular job titles related to Remote Catastrophe Modeling jobs in Worcester, MA?

For Remote Catastrophe Modeling jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Remote Catastrophe Modeling jobs in Worcester, MA look for?

The top searched job categories for Remote Catastrophe Modeling jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Catastrophe Modeling jobs?

Cities near Worcester, MA with the most Remote Catastrophe Modeling job openings:

Infographic showing various Remote Catastrophe Modeling job openings in Worcester, MA as of June 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $83,713 per year, or $40.2 per hour.

Associate Actuary, Capital Modeling (REMOTE)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 15 days ago


Job description

Our Corporate Actuarial department is seeking an Associate Actuary to join the Economic Capital Modeling team our Worcester, MA Corporate Headquarters or remote. 

POSITION SUMMARY:

This role supports the development, maintenance, and application of Hanover's Economic Capital Model (ECM) and related capital management tools. The ECM serves as a key decision-support framework for evaluating enterprise risk, capital requirements, risk-adjusted performance, reinsurance strategies, and strategic business opportunities.

Responsibilities include capital modeling, model validation, capital allocation analysis, profitability assessments, and evaluation of the impact of business and reinsurance strategies on enterprise risk and return.

This role partners with a variety of departments, including corporate finance, Reinsurance and Enterprise Risk Management. Strong analytical and communication skills are essential, as findings and recommendations will be presented to both technical and non-technical stakeholders. The position also contributes to ongoing model enhancements, process improvements, and the continued evolution of Hanover's capital management capabilities.

This is a Full-time, Exempt role.


IN THIS ROLE, YOU WILL: 

  • Support the maintenance, governance, and ongoing enhancement of Hanover's Economic Capital Model (ECM).
  • Analyze model assumptions, methodologies, and outputs, contributing recommendations that improve the ECM's effectiveness, accuracy, and business value.
  • Perform enterprise risk quantification, stochastic modeling, and capital adequacy analyses across underwriting, reserving, catastrophe, market, credit, and operational risks.
  • Conduct stress testing and scenario analyses to assess the impact of emerging risks and changing business conditions on capital requirements.
  • Analyze key drivers of economic capital consumption, profitability, and risk-adjusted performance across business segments.
  • Support the development and maintenance of capital allocation and performance measurement frameworks used in strategic decision-making.
  • Determine the impact of reinsurance structures, capital management initiatives, and business opportunities on risk, return, and capital efficiency.
  • Analyze the capital implications of strategic initiatives and management actions, providing data-driven insights and recommendations.
  • Partner with Finance, Enterprise Risk Management, Investments, Treasury, Pricing, Reserving, and business leaders to communicate results and support enterprise decision-making.

WHAT YOU NEED TO APPLY:

  • Bachelor's degree in a relevant technical or quantitative field.
  • Five+ years of actuarial, capital modeling, enterprise risk management, predictive analytics, pricing, reserving, or related analytical experience.
  • ACAS or equivalent experience preferred.
  • Strong understanding of actuarial modeling techniques, enterprise risk management concepts, and capital management principles.
  • Experience interpreting complex analytical results and translating them into business recommendations.
  • Advanced skills using Microsoft Office, including Excel and PowerPoint.
  • Programming and analytical experience using Python, R, SQL, and other actuarial or data analytics tools, with demonstrated ability to automate processes, develop analytical solutions, and improve operational efficiency
  • Proven ability to manage multiple priorities and deliver high-quality work within established timelines.
  • Ability to influence decisions and collaborate effectively across functions and organizational levels