CAT Modeling Analyst

About the position We’re a team of employees passionate about delivering best-in-class customer service and innovation in the industry. We prioritize integrity, relationships, and excellence in all aspects of our work. Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do! Central is looking for a collaborative, motivated individual with strong analytic, strategic, and communication skills to assist in building our first Catastrophe modeling program. The Catastrophe modeling analyst will work closely with Finance, Underwriting, Actuarial, Risk, Data Science, and IT teams to improve data quality, modeling effectiveness, and risk insight delivery. This role is critical in defining our internal view of risk and will lead portfolio-level analyses for PML calculations, property aggregations, profitability, and accumulation zone analyses.

Responsibilities

• Gather, validate, and reconcile exposure data across assigned lines of business (e.g., property, casualty, and specialty lines), ensuring data quality and consistency across underwriting, policy, and financial systems
• Act as the subject matter expert for catastrophe model interpretation and decision making
• Ensure modeled results are transparent, repeatable, and reliable, with clear documentation of inputs, assumptions, and outputs
• Own full lifecycle execution of the enterprise catastrophe models using internally licensed commercially available software to produce loss distributions and derived risk metrics such as AAL, OEP/AEP curves and return period loss estimates
• Document model assumptions, limitations, methodologies, and version changes; assess and communicate the impact of model updates on portfolio results
• Interpret and highlight key exposures, loss drivers, and sources of uncertainty, translating results into clear, actionable insights
• Analyze catastrophe modeling results in the context of reinsurance structures and purchases, supporting reinsurance optimization and renewal discussions
• Provide decision-support analytics to inform risk appetite, portfolio management, and capital allocation decisions by translating complex modeling results into actionable recommendations that influence strategy
• Independently communicate results and strategic recommendations to department and executive leadership through written reports, presentations, and stakeholder discussions
• Present information to internal and external stakeholders, including regulators and rating agencies.
• Support the Risk Committee and Investment Committee as needed.
• Collaborate closely with Finance, Underwriting, Actuarial, Risk, Data Science, and IT teams to improve data quality, modeling effectiveness, and risk insight delivery
• Translate enterprise model outputs into practical insights at the underwriting desk level to improve risk selection and decisioning
• Create enabling materials (playbooks, office hours, training sessions, explainers) that make catastrophe concepts accessible and actionable
• Serve as the primary owner of model version control and the formal change-management process for transitions between model versions
• Provide thought leadership and mentoring to team members supporting catastrophe modeling and analytics

Requirements

• Master’s degree in Finance, Risk Management, Economics, Analytics, Mathematics, , Meteorology or a related quantitative field and 4 years’ experience in catastrophe model deployment, validation, or governance
• Or Bachelors degree in Finance, Risk Management, Economics, Analytics, Mathematics, , Meteorology or a related quantitative field and 6 years’ experience in catastrophe model deployment, validation, or governance
• Or 8 years in experience in statistics, mathematics, or quantitative analytics
• Strong analytical and critical thinking skills with the ability to assess the reasonability of data and results
• Understanding of catastrophe risk perils (e.g., severe convective storm, hurricane, wildfire) and associated loss drivers
• Understanding of catastrophe model output metrics such as AAL, exceedance probability curves (OEP/AEP), and return period losses, and the ability to communicate tail risk and model uncertainty
• Solid underwriting and reinsurance acumen, with comprehension of insurance financial accounting
• Ability to analyze scenarios and potential outcomes, including likelihoods and sensitivities
• Strong verbal and written communication skills, including presentation and influence skills
• Ability to work collaboratively across teams while also operating independently
• Strong organizational skills with acute attention to detail
• Proficient use of Excel and Microsoft Office products; comfort working with large datasets and interest in automating repeatable analyses using tools such as Alteryx, SQL or Python
• Ability to understand and operate within Central Insurance’s policies, processes, and risk framework

Nice-to-haves

• Experience using commercial catastrophe modeling platforms (RMS preferably), including hazard, vulnerability, and financial modules
• Experience in catastrophe model development
• Understanding of reinsurance structures and analytics, including treaty and facultative arrangements
• Exposure to regulatory, rating agency, or reinsurance partner analytics and reporting
• Certified Catastrophe Risk Management (CCRMP) or Certified Specialist in Catastrophe Risk (CSCR) credentials

Benefits

• Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits

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