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Strong global brand, metro location, generalist data role, and broad skill requirements.
Skills transferable across industries, though insurance and actuarial context increase specificity.
Mandatory degree and technical tools required, but no explicit years, so moderate strictness.
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Own backend analytics including data collection, reconciliation, and management for multiple insurance lines (travel, credit card, personal home & auto, life & health).
Develop, maintain, and enhance actuarial and analytical models, dashboards, and reporting tools using automation and AI integration.
Support consulting engagements with analytics on pricing, reserving, forecasting, claims, benchmarking, and ad hoc analyses.
University degree in actuarial science, mathematics, statistics, data science, computer science, or related technical field.
Experience with automation or AI-enabled tools is mandatory.
Proficient in data visualization/dashboard tools like Power BI or Tableau, and programming languages such as R, Python, or SQL, plus strong Microsoft Excel skills.
Work Experience Required: Not explicitly mentioned in the JD.
Capable of working independently and within teams supporting senior consultants in a multidisciplinary affinity insurance consulting environment.
Strong technical skills to innovate and streamline complex actuarial and analytical processes with AI and robotic automation.
Experienced in managing large datasets and integrating technology to support evolving insurance product analytics and client strategies.