Cyber Analytics Actuarial Spring Co-op - College Program 2027

Marsh; United States; Hybrid; USD 31,000 - 44,000; Full time

Job summary

Marsh is seeking a Cyber Analytics analyst for the Marsh Re team. The role can be based in multiple US cities or remote/hybrid, with at least three days in the office weekly. It is a 6-month program, January 2027 through June 2027, ~40 hours per week, designed to develop risk analytics and client storytelling.

You will work with SQL/Python and the MetaRisk suite to drive insights and support reinsurance decisions for clients.

Qualifications

• 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.
• Proficiency in Microsoft Office Suite (PowerPoint, Excel and Word); SQL and Python; Familiarity with R, Alteryx, Power BI.

Responsibilities

• Organize client data, check data for reasonability, load data into predictive models, run the models, share insights with senior colleagues, and compile coherent narratives for clients.
• Conduct detailed quantitative analyses of client data to evaluate risk exposures, forecast outcomes, and support decisions in reinsurance transactions.
• Research industry trends, regulatory changes, and emerging standards affecting loss liabilities to assess implications for client portfolios.
• Provide prompt, professional responses to client inquiries, ensuring high levels of client satisfaction and trust.
• Collaborate with the team to develop and deliver impactful proposal presentations for clients and prospects.
• Utilize MetaRisk software to design and refine customized reinsurance solutions, assessing impact on capital and risk.
• Participate in internal and external meetings, contributing insights to drive project objectives.

Skills

SQL

Python

Power BI

Excel

PowerPoint

Word

R

Alteryx

Microsoft Office

Education

Bachelor's degree

Actuarial science

Data science

Statistics

Mathematics

Economics

Tools

SQL

Python

R

Alteryx

Power BI

Job description

Special note: This position may close once a sufficient applicant pool has been reached, so interested candidates are encouraged to apply early.

We are seeking a talented individual to join our Cyber Analytics team at Marsh Re. This role can be based in New York, Philadelphia, Atlanta, 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: January 2027 through June 2027 (~40 hours per week)

This is a 6-month commitment

We will count on you to:

• 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

What you need to have:

• 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
• 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

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 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

The applicable hourly rate for this role is $27.00.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the