Marsh McLennan Inc. logo

Actuarial Summer Intern College Program 2027

Marsh McLennan Inc.

NEW YORK, NY · HybridInternship$30/hrSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$30/hr
Location
NEW YORK, NYHybrid
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Marsh Re seeks a summer intern for its Global Analytics Advisory team, based in one of several listed offices in a hybrid arrangement requiring at least three office days per week. The intern will work on targeted internal projects, receive industry-specific training, and collaborate with specialists supporting insurance clients through actuarial analysis, reinsurance modeling, and strategic insights.

Skills & qualifications

RequiredNice to have

Skills

Actuarial MethodologiesMicrosoft Office SuiteProblem SolvingFinancial AptitudeCommunicationPresentation SkillsTechnical AnalysisCuriosityProactivityInterpersonal SkillsOrganizationAttention to DetailProgramming LanguagesVisualization ToolsReinsurance IndustryInsurance

Qualifications

Bachelor's or Equivalent DegreeOne Actuarial ExamCAS ExamsRelevant Work ExperienceTechnical Role ExperienceInsurance or Reinsurance Experience

Full job description

We are seeking a talented individual to join our Global Analytics Advisory team at Marsh Re. This role will be based in Morristown, New York, Philadelphia, Edina, Seattle, or Atlanta. This is a hybrid role that has a requirement of working at least three days a week in the office. You will join a team of highly specialized professionals utilizing advanced quantitative skills and sophisticated modeling techniques to deliver critical insights to our clients. You will collaborate with top-tier experts to develop a comprehensive understanding of portfolio profitability, helping clients align their underwriting strategies with long-term business objectives. You will work on one or two targeted projects to advance internal initiatives, gaining industry-specific training in areas such as benchmark pricing of reinsurance contracts using actuarial methods. Additionally, you will be part of collaborative, cross-functional teams that provide strategic insights to some of the largest and most prominent insurance companies worldwide. Why Marsh Re At Marsh Re, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career. We will count on you to: Contribute to developing an inclusive work environment that respects and values differences of background, experience, and thought Organize and analyze client data, check data for reasonability, perform calculations utilizing actuarial methodologies, share insights with senior colleagues, and compile a coherent and compelling story to help clients understand their degree of risk Perform basic calculations with client data to assess a range of risk exposures and predict outcomes for clients in support of the reinsurance transaction process Assist team members with the preparation of proposal presentations for existing and prospective clients Research industry-specific and specialty related trends that may affect reinsurance programs/calculations Leverage our proprietary MetaRisk software suite to develop and optimize bespoke reinsurance transactions and evaluate their impact on our clients capital, growth, and volatility objectives What you need to have: Pursuance of bachelor's or equivalent degree is required Open to all majors; preference to STEM-focused majors Relevant prior work experience is a plus Successfully passed at least one Actuarial Exam is a plus Knowledge of Microsoft Office Suite (PowerPoint, Excel and Word) Good problem-solving skills and financial aptitude Strong communication and presentation skills: an ability to translate complex technical analysis and concepts into easily understandable terms Curious and proactive mindset: desire and ability to lead internal initiatives and research projects to completion A collaborative, team-oriented individual with effective interpersonal skills Strong ability to be organized and detail oriented What makes you stand out: Interest in or progress towards completion of Casualty Actuarial Society (CAS) exams Familiarity with programming languages/visualization tools Experience in a technical related role at a reinsurance broker, market, or catastrophe model software vendor Prior experience in relevant insurance / reinsurance field An understanding of the reinsurance industry and product lines Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. The applicable hourly base pay for this role is $30.00. What's next: Applicat

How this job compares

Set against the 2,257 open Analytics jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$30/hr
  • US median$24–57/hr114 hourly ranges

This rate, $30/hr, is 26% below the US median midpoint ($40/hr) — in the middle half of Analytics hourly ranges across the US.

Openings
Olive Jobs lists 258 open Analytics jobs in New York and 2,257 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (1,815 postings).
Education
1,129 of the 2,257 open Analytics jobs (50%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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