Overview In this role you will lead actuarial analysis focused on Homeowners rate adequacy within Personal Insurance, partnering with planning, reserving, product, and claims analytics to align pricing with risk. You'll advance modeling approaches and leverage data science to inform state-specific pricing decisions and enterprise strategies. You will communicate results to senior leaders and collaborate across actuarial, product, and operations to drive impactful business outcomes. This is a hands-on leadership role with opportunities to build analytical tools and elevate methodology in a growth-focused insurance environment. Compensation / Benefitsbonus opportunitieslong-term incentiveson-the-spot recognitionhybrid work arrangementoffice flexibilitycompetitive compensation ResponsibilitiesLead and analyze Homeowners rate adequacy with clear visibility into key assumptionsCollaborate to incorporate latest information from various functions into rate adequacy analysesDevelop innovative actuarial processes and apply data science techniques to enhance methodologiesPartner with modeling group to set priorities for new modeling initiatives and communicate resultsBuild analytics and tools using R, Shiny, and the Homeowners data assetApply advanced analytics to identify risk relationships for actionable insightsPresent findings to Actuarial, Reserving, Claims, and Product leadershipEnsure timely delivery of analyses and manage multiple priorities in a fast-paced environment Key requirementsUndergraduate degree in mathematics, actuarial science, or related fieldFCAS preferred, but open to candidates with relevant knowledgeMinimum 5 years of property and casualty actuarial experienceKnowledge of actuarial pricing techniquesStrong Excel skills; experience with R/SQL preferredStrong oral and written communication abilitiesSelf-motivated with a collaborative, cross-functional mindsetAbility to influence across organizational levelscollaborationeffective communicationindependenceRSQLShiny
Not specified in the original listing.
Not specified in the original listing.
