Cyber Analytics Actuarial Spring Co-op - College Program 2027

Company: Marsh 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***

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.

Why Marsh Re At Marsh Re, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career. 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 - $30.00.

What's next: Application Instructions: We are hiring in multiple locations. As you are filling out your application, you'll have the opportunity to select your desired location. Should you have interest in multiple locations, your recruiter will work with you to make those connections should that be necessary. First Round Interviews: Applications are reviewed on a rolling basis. If selected, first-round interviews consist of an on-demand digital video interview. Further timing and instructions will be provided after submission of the application. 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 confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting View email address on click.appcast.io is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.