Actuarial Analyst

Marsh

Philadelphia, PAFresher1h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed · Bachelor's degree
Must know
ExcelMicrosoft OfficeAccountingPythonRSQL
Work
Hybrid in Philadelphia
Pay
Not stated by the employer.
Skill demand
Excel57%Accounting40%Microsoft Office38%Python23%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 9, 2026 · still open

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About the Role

  • Actuarial Analyst role supporting reinsurance actuarial services.
  • Based in Philadelphia, PA.
  • Hybrid role requiring at least three days a week in the office.

Key Responsibilities

  • Communicate directly with brokers regarding client needs and advise on reinsurance programs based on risk tolerance and industry trends.
  • Perform calculations using specialty models and client data to assess risk exposures and project outcomes.
  • Review client data for reasonableness, load data into predictive models, run analyses, and share results with brokers to support the reinsurance transaction process.
  • Direct junior team members in analyzing industry and regulatory developments that may affect loss liabilities and client outcomes.
  • Independently build more complex MetaRisk analyses and use the model to explain assumptions and results.
  • Establish and maintain relationships with brokers, reinsurers, and clients to support new business development in reinsurance actuarial services.

Requirements & Tech Stack

  • MS Excel and other Microsoft Office products.

Qualifications

  • 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.

What Makes You Stand Out

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

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