Cyber Analytics Actuarial Spring Co-op - College Program 2027

Marsh McLennan•New York, NY
•$27 - $30

About The Position

Marsh Re is seeking a student to join its Cyber Analytics team for a six-month co-op running from January 2027 through June 2027, at approximately 40 hours per week. 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 co-op uses quantitative skills and modeling techniques to provide clients with insights into portfolio profitability and help them align underwriting strategies with long-term business objectives. The work includes organizing, analyzing, and interpreting data; performing advanced modeling to evaluate reinsurance program cost and structure; and supporting analytics projects. The successful candidate will work with experienced professionals and use Marsh Re’s proprietary MetaRisk software suite.

Requirements

  • Pursuit of a bachelor’s degree or equivalent degree.
  • Major in actuarial science, data science, statistics, mathematics, or economics; preference for insurance-related or quantitative majors.
  • Proficiency in Microsoft Office Suite, including PowerPoint, Excel, and Word; SQL; and Python.
  • Problem-solving skills, attention to detail, and financial aptitude.
  • Strong communication and presentation skills, including the ability to explain complex technical analysis and concepts in understandable terms.
  • Curious and proactive mindset, with the desire and ability to lead internal initiatives and research projects to completion.
  • Collaborative, team-oriented approach and effective interpersonal skills.
  • Strong organizational skills and attention to detail.

Nice To Haves

  • 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 its reasonability, load it into predictive models, run models, share insights with senior colleagues, and prepare clear narratives to help clients understand their risk.
  • Conduct quantitative analyses of client data to evaluate risk exposures, forecast potential outcomes, and support decision-making 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 effects on clients’ capital, growth potential, and risk volatility.
  • Participate in internal and external meetings, contributing insights to strategic discussions and project objectives.

Benefits

  • Professional development opportunities and supportive leaders.
  • Career opportunities and benefits and rewards intended to enhance well-being.
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