Lead Analyst, CAT Mgt
$125,000–$163,000 year
On-sitePortsmouth, New Hampshire, United States
Job Summary
Lead complex catastrophe risk assessment projects from start to finish, developing advanced modeling methodologies to quantify risk and conducting in-depth reviews of model validations. Provide strategic guidance to senior management and collaborate with stakeholders to integrate risk insights into decision-making processes. Mentor junior analysts, manage external vendor relationships, and lead efforts to optimize modeling workflows. Serve as a subject matter expert in industry forums and contribute to company-wide risk strategies. Requires 5-7 years of catastrophe modeling experience, expert-level Python and SQL skills, and proficiency in Verisk platforms. Salary determined by factors including skills and location; benefits include professional development and inclusive culture.
Required Qualifications
- College degree in Computer Science, Mathematics, or Finance/General Business or Engineering or equivalent education and/or experience
- 5-7 years of catastrophe modeling and management reporting experience
- 2-3 years of hands-on experience with catastrophe modeling and exposure management software employed by the CAT unit
- Strong knowledge of insurance and reinsurance products, underwriting principles, catastrophe risk management, and portfolio exposure management
- Demonstrated ability to lead analytical initiatives, influence business decisions, and drive process improvements
- Experience partnering with underwriting, actuarial, risk management and reinsurance teams to support catastrophe risk management and business objectives
- Expert-level Excel and SQL knowledge
- Advanced proficiency in Python for data analysis, automation, and catastrophe modeling workflows
- Experience with Git/GitHub for version control, code management, and collaborative development
- Familiarity with AI and Generative AI tools to improve analytics, reporting, and operational efficiency
- Experience with Power BI, Tableau, or similar business intelligence and data visualization tools
- Knowledge of cloud-based analytics platforms such as Microsoft Azure or AWS
- Experience with catastrophe model validation, sensitivity testing, and uncertainty analysis
- Demonstrated ability to automate reporting processes and improve data quality controls
- Proven experience leading cross-functional projects and mentoring junior analysts
- Ability to communicate complex catastrophe risk analyses to senior leadership and business partners
- Experience with exposure management, accumulation management and portfolio optimization
- Experience working with large-scale datasets and relational databases in support of CAT analytics
Desired Qualifications
- Advanced knowledge of Verisk and other catastrophe modeling platforms preferred
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