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Intern - Actuarial @ Marsh

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About this role

Analyses membership data for errors and omissions, and reconcile with previous valuations and independent sources.

Performs standard and non-standard calculations on the data as required.

Works with a range of IT tools, mainly excel, actuarial tools, GRS and populate any other Mercer-standard tools (e.g. eVolve, Metrix). Completing simple basis changes in GRS where necessary.

Completes standard summaries of data and results for Valuation Servcies, Consulting Unit contacts and clients.

Provides competent coordination support to project managers.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Skills

excelactuarial toolsgrsevolvemetrixdata analysisproject coordinationerror reconciliationdata summarizationmembership data analysisstandard calculations

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