Internship

Catastrophe Advisory Co-op

College Program 2025

Confirmed live in the last 24 hours

Marsh & McLennan

Marsh & McLennan

Compensation Overview

$27/hr

No H1B Sponsorship

Boston, MA, USA + 2 more

More locations: Philadelphia, PA, USA | New York, NY, USA

All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week.

Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Data Science
Word/Pages/Docs
Risk Management
Operations Research
Excel/Numbers/Sheets
PowerPoint/Keynote/Slides
Requirements
  • Progress towards a Bachelor’s degree in a quantitative or natural sciences field such as applied mathematics, statistics, engineering, operations research, finance, economics, data science, computer science, meteorology, or a demonstrated ability to learn new software and analytical concepts quickly.
  • An expected graduation date of December 2025 or May 2026 is preferred.
  • Strong academic record in major and work experience is more important than the field of study.
  • Curious and proactive mindset: desire and ability to lead internal initiatives and research projects to completion.
  • Robust data management skills: ability to manipulate, interpret, and extrapolate complex data.
  • Superior communication and presentation skills: an ability to translate complex technical analysis and concepts into easily understandable terms for brokers and clients.
  • Strong analytical, problem-solving skills and attention to detail with financial aptitude.
  • A collaborative, team-oriented mindset and effective interpersonal skills that is a positive and helpful presence in colleague and client interactions.
  • Solid computer skills including Microsoft Office (Excel, Word, PowerPoint) and basic coding in any language.
  • A desire and ability to grow beyond your current capabilities.
  • Capacity to progress multiple projects at the same time.
  • Legal work authorization to work in the U.S. on a permanent and ongoing basis without the need for sponsorship now or in the future.
Responsibilities
  • Contribute to developing an inclusive work environment that respects and values differences of background, experience, and thought.
  • Organize client data, check data for reasonability, load data into predictive models, run the models, share insights with senior colleagues, and compile coherent and compelling narratives to help clients understand their degree of risk.
  • Perform basic calculations and draw conclusions from client data to assess a range of modeled outcomes for clients in support of reinsurance transaction process.
  • Conduct research on industry/regulatory developments that affect loss liabilities to determine the impact on clients.
  • Keep teams updated on industry-specific and specialty related trends related to catastrophe risk management and reinsurance.
  • Contribute to impactful and insightful discussions with clients on their reinsurance strategy.
  • Establish and maintain strong relationships with brokers/clients/reinsurers/colleagues, assist in promptly responding to client queries and concerns.
  • Develop knowledge in certain region-based or peril-based areas of catastrophe risk management services through research or experience in order to advance professionally and gain recognition as an expert in the industry.
  • Take part in or lead internal initiatives, offering ideas and feedback to improve outcomes as well as to help develop Guy Carpenter’s thought leadership and industry expertise.
  • Support / Mentor the leadership team in ensuring equitable experiences, strengthening inclusion, and promoting a culture of inclusivity and belonging that embraces the contributions of all team members.
Desired Qualifications
  • Experience in the insurance industry at an insurance company, reinsurance broker, reinsurer, or catastrophe model software vendor.
  • Experience using Microsoft SQL, Alteryx or Power BI.
  • Scientific background in meteorology and/or seismology.
  • An understanding of the insurance/reinsurance industry and product lines.
  • Technical expertise working with catastrophe models such as RMS and Verisk (AIR).

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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