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Actuarial Analytics Intern
Marsh McLennan. Research economic factors related to the evaluation of risk .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational knowledge in Actuarial Science and strong analytical skills to evaluate client risk and insurance options. Proficient in Microsoft Excel and capable of supporting analytical modeling and the development of key performance indicators.
Highest-signal resume keywords
Actuarial TechniquesData AnalysisMicrosoft ExcelRisk ManagementAnalytical Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Actuarial ScienceMathematicsStatisticsData ScienceAnalytical TechniquesFrequency and Severity Loss DistributionsKey Performance IndicatorsQuantitative AnalysisInsurance AnalysisAnalytical Tool Development
Soft Skills
Strong Analytical SkillsInterpersonal SkillsOrganizedDetail-OrientedClient-Focused MindsetEffective Collaboration
Industry Keywords
Risk EvaluationInsurance ProgramsProject ExecutionData AnalyticsTeam ProjectsModel MaintenanceStakeholder RelationshipsCapstone Presentation
Tech Stack
Tools & technologiesSpring
About the role
Key responsibilities & impact- Research economic factors related to the evaluation of risk
- Participate in evaluations of client risk and insurance programs
- Support development of analytical tools that help clients assess and mitigate risk
- Gain exposure to Product Intelligence and Design, Project Execution and Delivery, Analysis, Research and Data, and Analytics Sales and Distribution
- Support development of frequency and severity loss distributions using actuarial and analytical techniques
- Build foundational knowledge of insurance and apply it to evaluating client risk and insurance options
- Support analytical modeling and insurance analyses
- Support development of key performance indicators used to evaluate insurance strategies
- Contribute to and present analytical findings to internal teams and clients
- Contribute to industry-specific initiatives, model maintenance, and other team projects
- Complete a summer capstone presentation for the team and senior leadership
Requirements
What you’ll need- Graduation date between Fall 2027 and Spring 2028
- Currently pursuing a bachelor or master’s degree in Actuarial Science, Mathematics, Statistics, Data Science, or another STEM-related major
- Foundational knowledge of Microsoft Excel, including organizing data, using basic formulas, and creating simple analyses
- Strong analytical and interpersonal skills
- Ability to collaborate effectively across teams
- Organized and detail-oriented
- Ability to manage multiple responsibilities effectively
- Legal work authorization to work in the U.S. on a permanent and ongoing basis without sponsorship now or in the future
- Must be a U.S. Citizen or Permanent Resident Green Card holder at the time of application
- Strong interest in risk management, insurance, data analysis, and actuarial techniques
- Client-focused mindset and ability to build effective relationships with internal and external stakeholders
- Comfortable collaborating in team environments and taking ownership of individual responsibilities
- Comfort working with quantitative information and applying mathematical or financial concepts to solve business problems
- Resume and cover letter required, each no more than two pages in PDF format
- Cover letter must answer the specified application questions
Benefits
Comp & perks- 10-week internship experience
- Vibrant cohort community
- Dedicated program team providing learning and development opportunities
- Mentorship program
- Exposure to senior leaders
- Networking opportunities
- Summer capstone presentation
- Mentorship and professional development support
- Hybrid work environment with remote flexibility
- Opportunities to participate in local office events and networking activities
- Professional development opportunities
- Supportive leaders
- Inclusive and flexible work environment