Summer 2027

Actuarial Internship

Updated on 8/2/2026

Deadline 8/23/26
Marsh & McLennan

Marsh & McLennan

Compensation Overview

$33.75 - $40/hr

No H1B Sponsorship

Boston, MA, USA + 12 more

More locations: Seattle, WA, USA | Houston, TX, USA | Washington, DC, USA | San Francisco, CA, USA | Los Angeles, CA, USA | Philadelphia, PA, USA | Chicago, IL, USA | Charlotte, NC, USA | Milwaukee, WI, USA | Hartford, CT, USA | New York, NY, USA | Atlanta, GA, USA

Hybrid

Three days in the local office or onsite with clients per week are expected.

Category
Finance & Banking (1)
Required Skills
Python
SAS
R
Forecasting
SQL
Data Engineering
Financial analysis
VBA
Data Analysis
Excel/Numbers/Sheets
Financial Modeling
Requirements
  • Candidates must be in the Class of 2028 or 2029.
  • Candidates must be pursuing a degree in Actuarial Science, Mathematics, Statistics, or another STEM or business-related field.
  • Candidates must have a minimum GPA of 3.5.
  • Candidates must have an interest in the Casualty Actuarial Society, Society of Actuaries, or Chartered Financial Analyst track.
  • Candidates must have a strong interest in strategy consulting and actuarial applications.
  • Candidates must demonstrate strong analytical and problem-solving skills, including the ability to navigate ambiguous or strategic business challenges.
  • Candidates must have excellent written and verbal communication skills.
  • Candidates must be able to manage multiple priorities in a fast-paced environment.
  • Candidates must have a collaborative mindset and be able to work independently.
  • Candidates must have permanent, unrestricted U.S. work authorization; CPT and OPT are considered restricted forms of work authorization.
  • Candidates must have strong analytical and quantitative skills.
  • Candidates must have technical skills in Excel and familiarity with R, Python, SQL, SAS, or Visual Basic for Applications.
Responsibilities
  • Support consultants and actuaries in analyzing business problems using data, research, and structured problem-solving approaches.
  • Conduct industry and market research to inform client recommendations.
  • Assist in developing presentations, financial analyses, and other client deliverables.
  • Collaborate with project teams to support engagement execution and learn consulting best practices.
  • Support actuarial analyses related to pricing, forecasting, and financial performance.
  • Work with healthcare datasets to identify trends, summarize findings, and develop insights.
  • Assist in preparing client-ready presentations, exhibits, and analytical summaries.
  • Collaborate with consultants and actuaries to support project delivery and client service.
  • Support actuarial modeling and analysis related to valuation, pricing, and financial projections.
  • Assist with data analysis, assumption reviews, and sensitivity testing exercises.
  • Research industry trends and emerging topics to support client engagements.
  • Prepare analyses, exhibits, and presentation materials for internal and client-facing discussions.
  • Support actuarial analyses related to reserving, pricing, loss forecasting, and risk financing programs.
  • Compile, organize, and analyze data to develop exhibits and summarize key findings.
  • Assist with industry research, benchmarking studies, and business intelligence initiatives.
  • Collaborate with consultants and actuaries to develop client-ready analyses and deliverables.
  • Participate in a six-week actuarial bootcamp consisting of presentations, case studies, and mentorship sessions.
Desired Qualifications
  • Preferred technical familiarity includes R, Python, SQL, SAS, or Visual Basic for Applications.

Company Size

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Total Funding

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Headquarters

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Founded

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