Vice President, Property Data Analytics

Core Specialty Insurance Services•Saint Louis, MN

7d•Hybrid

About The Position

Core Specialty is seeking a Vice President, Property Data Analytics to drive profitable growth and portfolio performance across its E&S Property business. Reporting to the Head of Property Data Analytics, this senior analytics leader serves as a trusted partner to Property underwriting leadership, using data, catastrophe modeling, claims, and advanced analytics to support underwriting strategy, portfolio management, and business decisions. The role partners with underwriting leaders to identify portfolio trends, catastrophe exposure, performance opportunities, and emerging risks, and translates complex analysis into clear recommendations. It designs and enhances dashboards, reporting tools, analytical frameworks, and scalable data models integrating underwriting, exposure, claims, catastrophe modeling, and third-party data. The position also supports portfolio and accumulation management, leads portfolio reviews and executive reporting, advances analytical capabilities, collaborates across functions, and mentors analysts. The expected pay range is $180,000–$250,000. The specific offer depends on skills and experience, and the disclosed range may be adjusted for geographic differentials. Applicants must be authorized to work for any U.S. employer; Core Specialty cannot sponsor or take over work authorization sponsorship now or in the future. The role is identified as hybrid.

Requirements

10+ years of experience in analytics, catastrophe modeling, portfolio management, or related analytical roles within the Property & Casualty insurance industry.
Experience supporting commercial property underwriting and portfolio management.
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, Actuarial Science, or a related analytical field.
Deep understanding of commercial property insurance, catastrophe risk, and portfolio analytics.
Strong experience designing analytical data models and business intelligence solutions.
Advanced SQL skills and experience with tools such as Python, Alteryx, Power BI, Tableau, R, or similar technologies.
Strong understanding of data visualization, data architecture, and analytical best practices.
Ability to influence business decisions through data-driven insights.
Strong communication skills, including explaining complex concepts to technical and non-technical audiences.
Excellent problem-solving, analytical, and strategic thinking skills.
Proven ability to lead cross-functional initiatives and deliver results.
Authorization to work for any employer in the U.S.; sponsorship is not available now or in the future.

Nice To Haves

CCRMP, CEEM, CCRA, CPCU, ARM, ARe, or similar industry designations.

Responsibilities

Partner with underwriting leaders to provide actionable analytics that improve portfolio profitability and underwriting performance.
Analyze portfolio trends, catastrophe exposure, and business performance to identify opportunities and emerging risks.
Translate complex analytical findings into clear recommendations for business leaders.
Design and enhance dashboards, reporting tools, and analytical frameworks used across the Property organization.
Develop scalable data models integrating underwriting, exposure, claims, catastrophe modeling, and third-party data.
Continuously improve the quality, accessibility, and usefulness of analytical insights.
Monitor portfolio performance and risk concentrations.
Help inform underwriting strategy, exposure management, and accumulation management decisions.
Lead portfolio review and reporting processes that support executive decision-making.
Identify new data sources, technologies, and analytical approaches to improve business outcomes.
Partner with technology, actuarial, claims, and operations teams to enhance enterprise analytical capabilities.
Mentor analysts and promote analytical best practices across the organization.