Actuarial Analyst

Marsh Agency

Philadelphia, PAFresher5h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed · Bachelor's degree
Must know
AccountingExcelMicrosoft OfficePythonRSQL
Work
Hybrid in Philadelphia
Pay
Not stated by the employer.
Skill demand
Excel55%Accounting35%Python26%Microsoft Office21%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 11, 2026 · still open

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About the Role

This is a hybrid role based in Philadelphia, PA, requiring at least three days a week in the office. The Actuarial Analyst supports reinsurance actuarial services.

Key Responsibilities

  • Communicates directly with brokers regarding client needs and advises on reinsurance programs based on risk tolerance and industry trends.
  • Performs calculations using specialty models and client data to assess risk exposures and project outcomes.
  • Reviews client data for reasonableness, loads data into predictive models, runs analyses, and shares results with brokers to support the reinsurance transaction process.
  • Directs junior team members in analyzing industry and regulatory developments that may affect loss liabilities and client outcomes.
  • Independently builds more complex MetaRisk analyses and uses the model to explain assumptions and results.
  • Establishes and maintains relationships with brokers, reinsurers, and clients to support new business development in reinsurance actuarial services.

Requirements & Tech Stack

  • Bachelor’s degree in Actuarial Science, Data Science, Economics, Accounting, Physics, or a related field.
  • Curious, proactive, and growth-oriented mindset with the ability to lead internal initiatives and research projects to completion.
  • Superior communication and presentation skills, with the ability to translate complex technical concepts into clear, understandable terms for brokers and clients.
  • Collaborative, team-oriented, and proficient in MS Excel and other Microsoft Office products.

Qualifications

  • 1+ year of experience or internship in insurance or reinsurance.
  • Actuarial exams and familiarity with R, Python, SQL, Alteryx, or Power BI.

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