Marsh Risk Early Career Program, Summer Intern 2027 – Actuarial Analytics, NYC and Chicago
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MarshDescription:
Special note: This position may close once a sufficient applicant pool has been reached, so interested candidates are encouraged to apply early.
Marsh Risk Early Career Program, Summer Intern 2027 – Actuarial Analytics, NYC and Chicago
We are seeking talented individuals to join our Marsh Early Career Program Summer Internship, part of our Risk business at Marsh, within the Analytics Solutions team. These roles will be based in New York and Chicago with an anticipated start in June 2027. This is a hybrid role that has a requirement of working at least three days a week in the office.
Join Marsh's Early Career Program as a Summer Intern, a 10-week experience designed to provide you with the actuarial analytics and consulting toolkit you need to accelerate your career at Marsh. Under close supervision, you will research economic factors related to the evaluation of risk, participate in evaluations of client risk and insurance programs, and support the development of market-leading analytical tools that help clients assess and mitigate risk.
As part of our program benefits, you will have a vibrant cohort community and a dedicated program team providing learning and development opportunities, a mentorship program, exposure to senior leaders, and valuable networking opportunities. You’ll end your internship with a summer capstone presentation, giving you the opportunity to apply what you’ve learned and present your work to your team and senior leadership.
Within Marsh Risk, the Analytics Solutions Practice helps clients better understand, quantify, and manage risk through strategic advice, customized actuarial analyses, and innovative digital and analytical tools. Through exposure to Product Intelligence and Design, Project Execution and Delivery, Analysis, Research and Data, and Analytics Sales and Distribution, you’ll build valuable analytics and consulting skills while helping clients address complex risk issues.
High-performing graduating students may be considered for a full-time opportunity after the internship.
The Team
Analytics Solutions is the specialized actuarial and predictive modeling team within Marsh Risk’s consulting services. Analytics Solutions provides strategic advice and customized analyses to help clients address their complex risk issues.
We will count on you to:
- Support the 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, and the development of key performance indicators used to evaluate insurance strategies.
- Develop your presentation skills and confidence by contributing to and presenting analytical findings to internal teams and clients.
- Contribute to industry-specific initiatives, model maintenance, and other team projects throughout the internship.
What you need to have:
- 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, with the ability to collaborate effectively across teams
- Organized, detail-oriented, and able to manage multiple responsibilities effectively
- 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, in other words, you must be a U.S. Citizen or Permanent Resident Green Card holder at the time of application
What makes you stand out?
- Strong interest in risk management, insurance, data analysis, and actuarial techniques
- Client-focused mindset with the ability to build effective relationships with internal and external stakeholders
- Comfortable collaborating in team environments while also taking ownership of individual responsibilities
- Comfort working with quantitative information and applying mathematical or financial concepts to solve business problems
Application Process and Document Requirements
Uploading Resume and Cover Letter (both required): We review applications holistically and value a wide range of academic, professional, and extracurricular experiences. Please upload documents that are no more than two pages each in PDF format.
To ensure your application is considered complete, please submit a cover letter answering the questions below. We encourage thoughtful, authentic responses that reflect your interests, experiences, and alignment with Marsh.
- What interests you about beginning your career in insurance and risk analytics?
- Why are you interested in a role within Analytics Solutions, and why does your preferred office location (Chicago or New York) appeal to you?
- Analytics Solutions involves collaborating with teammates and communicating analytical findings to different audiences. How would you approach explaining technical information to someone without a technical background?
Compensation and Benefits
The hourly rate for this role is $28.50/hr in Chicago and $30/hr in New York. Please note that the salary is standardized per location and not subject to negotiation.
In addition, we offer:
- Mentorship and professional development support
- Hybrid work environment, offering a mix of in-office collaboration and remote flexibility
- Opportunities to participate in local office events and networking activities
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 an impact on 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.
Required Skills
Required Languages
🇬🇧 English