[Hiring] Reinsurance Treaty Catastrophe Modeler @Brown & Brown Insurance

Role Description

We are seeking a highly motivated and experienced Reinsurance Treaty Catastrophe Modeler to join our growing team! The successful candidate will be responsible for utilizing catastrophe models to accurately assess and quantify the risk and profitability of the Property Cat reinsurance portfolio. You will participate in the reinsurance placement and renewal process and partner closely with the actuarial pricing team, providing crucial insights to support underwriting and management decision-making. This role requires a strong understanding of reinsurance principles, catastrophe modeling software, and statistical analysis.

• Treaty Analysis: Analyze and model complex reinsurance treaties (e.g., proportional, non-proportional, retrocessional) using industry-standard catastrophe models (e.g., Verisk Touchstone/Touchstone Re, RMS RiskLink, CoreLogic).
• Data Preparation & Validation: Prepare, validate, and quality-assure exposure data for input into catastrophe models, ensuring accuracy and completeness.
• Model Execution & Interpretation: Execute catastrophe models, interpret results (e.g., exceedance probability curves, average annual loss, return periods), and identify key risk drivers.
• Portfolio Management: Contribute to the management of the reinsurance portfolio by providing risk assessments and insights to underwriters.
• Scenario Development: Develop and analyze custom scenarios to assess potential impacts of specific events or changes in exposure.
• Model Validation & Development: Participate in the validation and enhancement of catastrophe models, including model parameterization and calibration.
• Reporting & Communication: Prepare clear and concise reports summarizing model results and communicate findings to underwriters, management, and other stakeholders.
• Collaboration: Collaborate with underwriters, actuaries, and other departments to provide comprehensive risk assessments.
• Research & Development: Stay abreast of industry trends, new modeling techniques, and emerging risks. Participate in projects to help shape and define the company's view of risk for natural catastrophe perils.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as Actuarial Science, Mathematics, Statistics, Engineering, or a related discipline.
• Minimum of 5 years of experience in catastrophe modeling, specifically within the reinsurance industry.
• Proficiency in using at least one major catastrophe modeling platform (Verisk Touchstone, RMS RiskLink, CoreLogic RQE).
• Strong understanding of reinsurance principles, treaty structures, and underwriting practices.
• Solid understanding of statistical concepts, including probability distributions, return periods, and extreme value theory.
• Experience with data manipulation and analysis using software such as SQL, R, or Python.
• Excellent analytical, problem-solving, and communication skills (both written and verbal).
• Ability to work independently and as part of a team.
• Experience with stochastic modeling tools such as MetaRisk or ReMetrica desired.
• Experience with scripting or programming languages (e.g., Python, VBA) is a plus.
• Experience with database management is a plus.

Requirements

• Pay Range: $170,000 - $190,000 Annual
• The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.

Benefits

• Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
• Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
• Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
• Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.
• Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.