Overview In this role you will support Life Experience Studies initiatives, focusing on data processing, assumption development, and reporting that underpin pricing, valuation, and risk management. You will partner with IT, Valuation, and cross-functional teams to improve controls and share insights. You will document methodologies, automate recurring processes, and help ensure data integrity across flows. You will contribute to analyses of policyholder behavior and morbidity experience and drive process improvements. Compensation / BenefitsPTO/parental leavecompetitive 401K and employee benefitsfree financial counseling and health coachingtuition assistance programwork arrangements that work for youeffective productivity tools and training ResponsibilitiesSupport Life Experience Studies data needs, collaborating with IT, Valuation, and other teamsAssist development of Policyholder Behavior and/or Morbidity experience assumptionsEnhance controls process for various data flowsCollaborate with teammates to share knowledge and best practicesDocument methodologies and automate recurring processes to improve workflow efficiencyCollaborate with business partners to ensure data integrity Key requirementsMinimum 3 years actuarial or data analytics experienceAnalytical, critical thinking, and independent problem-solvingAbility to synthesize large data volumes and identify anomaliesHands-on SQL, Python, or other programming languagesInnovative mindset to improve current processesStrong priority setting, time management, and organizational skillsAttention to detail and problem-solving abilitiesFamiliarity with data visualization tools (Tableau, Power BI)collaborationstrong communicationdetail-orientedSQLPythonTableau
Not specified in the original listing.
Not specified in the original listing.
