Cyber Analytics Actuarial Fall Co-op - College Program 2026

Marsh McLennan • Edina, NY

11d • $30 • Hybrid

About The Position

We are seeking a talented individual to join our Cyber Analytics team at Guy Carpenter. This role can be based in New York, Philadelphia, Edina, and Seattle. This can either be a remote position or hybrid role that has a requirement of working at least three days a week in the office. Program Dates: July 2026 through December 2026 (~40 hours per week) This is a 6-month commitment As a member of our Cyber Analytics team, you will leverage deeply specialized quantitative skills and sophisticated modeling techniques to deliver critical insights and measurements for our clients. You will collaborate with top-tier professionals to develop a comprehensive understanding of portfolio profitability, enabling clients to align their underwriting strategies with long-term business objectives. Your responsibilities will include organizing, analyzing, and interpreting data, as well as performing advanced modeling to evaluate the cost and structure of reinsurance programs and support a variety of analytics projects.

Requirements

• Pursuance of bachelor’s or equivalent degree is required
• Open to Actuarial science, Data science, Statistics, Mathematics and Economics major, preference to insurance-related or quantitative majors, preference to candidates with prior insurance-related internships or co-ops
• Relevant prior work experience is a plus
• Proficiency in Microsoft Office Suite (PowerPoint, Excel and Word), SQL and Python; Familiarity with other programming languages/visualization tools (i.e. R, Alteryx, Power BI) is a plus
• Good problem-solving skills, attention-to-details, 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

Responsibilities

• 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
• Conduct detailed quantitative analyses of client data to evaluate risk exposures, forecast potential outcomes, and support decision-making processes in reinsurance transactions
• Research industry trends, regulatory changes, and emerging standards affecting loss liabilities to assess their implications on client portfolios and advise on strategic adjustments
• Provide prompt, professional responses to client inquiries and concerns, ensuring high levels of client satisfaction and trust
• Collaborate with team members to develop and deliver impactful proposal presentations for both existing clients and prospects
• Utilize our proprietary MetaRisk software suite to design and refine customized reinsurance solutions, assessing their impact on clients’ capital, growth potential, and risk volatility
• Actively participate in internal and external meetings, contributing insights and expertise to drive strategic discussions and support project objectives

Benefits

• 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 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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees