AVP, Property Pricing
About The Position
Ledgebrook is seeking an AVP, Property Pricing Actuary to join its Product & Data team and drive data-informed decision-making across its Property and Inland Marine portfolios. The role works closely with underwriters to develop and maintain pricing for those portfolios. The position develops predictive pricing models using machine learning and traditional actuarial methods, and creates analytical reports and processes that provide business insights. It works with data and AI/ML engineers to define data requirements, maintain data integrity and accuracy, and incorporate third-party data into projects. The actuary partners with underwriting, claims, finance, and other stakeholders to turn actuarial findings into business strategies; owns technical pricing for the Property and Inland Marine portfolios; and collaborates across teams to integrate and maintain models and pricing tools. The role also partners with actuaries and data scientists to build team capabilities and support continuous improvement and innovation. The level will be adapted to the candidate’s experience and skill set.
Requirements
- Credentialed actuary with an Associate of the Casualty Actuarial Society (ACAS).
- Deep Commercial Property and Inland Marine pricing experience.
- Experience leading portfolio analyses, portfolio monitoring, and pricing reviews for Commercial Property and Inland Marine business.
- Experience developing pricing recommendations and partnering with underwriting and product teams to drive portfolio decisions.
- Advanced SQL, Excel, and Power BI skills for investigation, data modeling, and reporting.
- Strong communication and presentation skills for collaborating with stakeholders across the organization.
- Comfort integrating AI tools into day-to-day workflows to drive efficiencies.
- Self-starter who takes accountability, thrives in a fast-paced environment, and handles ambiguity well.
- Collaborative approach, strong analytical skills, and a passion for using data to drive business outcomes.
Nice To Haves
- Fellow of the Casualty Actuarial Society (FCAS).
- Excess and surplus (E&S) experience.
Responsibilities
- Develop predictive pricing models using machine learning and traditional actuarial methods.
- Create and implement analytical reports and processes that provide business insights.
- Work with data and AI/ML engineers to define data requirements for models and tools.
- Ensure data integrity and accuracy and incorporate third-party data into projects.
- Partner with underwriting, claims, finance, and other business stakeholders to translate actuarial findings into actionable strategies.
- Own technical pricing for the Property and Inland Marine portfolios.
- Collaborate with other teams to integrate and maintain models and pricing tools.
- Partner with actuaries and data scientists to build capabilities and foster continuous improvement and innovation.
- Lead portfolio analyses, portfolio monitoring, and pricing reviews for Commercial Property and Inland Marine business.
- Develop pricing recommendations and partner with underwriting and product teams to support portfolio decisions.
Benefits
- Full remote flexibility and asynchronous work culture.
- Unlimited PTO and fully paid sick leave.
- Comprehensive medical, dental, and vision coverage, plus HSA and FSA options.
- 401(k).
- Company-paid life insurance and disability coverage.
- Eligibility to participate in the equity incentive program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
