Cyber Analytics Actuarial Spring Co-op - College Program 2027

Marsh McLennan•Edina, NY

About The Position

Marsh Re is seeking a Spring Co-op to join its Cyber Analytics team. The role may be based in New York, Philadelphia, Atlanta, Edina, or Seattle, and may be remote or hybrid. Hybrid work requires at least three days per week in the office. The program runs from January 2027 through June 2027, is approximately 40 hours per week, and requires a six-month commitment. The co-op will use quantitative skills and modeling techniques to provide insights for clients. Working with experienced colleagues, the role supports analysis of portfolio profitability and underwriting strategies. Work includes organizing, analyzing, and interpreting data; performing advanced modeling; evaluating the cost and structure of reinsurance programs; and supporting analytics projects. The role also uses Marsh Re’s proprietary MetaRisk software suite to develop and assess customized reinsurance solutions.

Requirements

Pursuing a bachelor’s degree or equivalent degree.
Proficiency in Microsoft Office Suite, including PowerPoint, Excel, and Word.
Proficiency in SQL and Python.
Good problem-solving skills, attention to detail, and financial aptitude.
Strong communication and presentation skills, including the ability to explain complex technical analyses and concepts in understandable terms.
A curious and proactive mindset, with the desire and ability to complete internal initiatives and research projects.
Collaborative, team-oriented approach and effective interpersonal skills.
Strong organizational skills and attention to detail.

Nice To Haves

A major in actuarial science, data science, statistics, mathematics, or economics; insurance-related or quantitative majors are preferred.
Prior insurance-related internship or co-op experience.
Familiarity with other programming languages or visualization tools, such as R, Alteryx, or Power BI.

Responsibilities

Organize client data, check it for reasonability, load it into predictive models, run the models, share insights with senior colleagues, and prepare clear narratives to help clients understand their degree of risk.
Conduct quantitative analyses of client data to evaluate risk exposures, forecast potential outcomes, and support decisions in reinsurance transactions.
Research industry trends, regulatory changes, and emerging standards affecting loss liabilities, assess their implications for client portfolios, and advise on strategic adjustments.
Respond promptly and professionally to client inquiries and concerns.
Collaborate with team members to develop and deliver proposal presentations for existing clients and prospects.
Use the MetaRisk software suite to design and refine reinsurance solutions and assess their effects on clients’ capital, growth potential, and risk volatility.
Participate in internal and external meetings, contributing insights to strategic discussions and project objectives.