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Marsh McLennan

Cyber Analytics Actuarial Fall Co-op College Program 2026 at Marsh McLennan

Marsh McLennan Remote - Edina, MN

Job Description

Company:Guy CarpenterDescription: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.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 riskConduct detailed quantitative analyses of client data to evaluate risk exposures forecast potential outcomes and support decision-making processes in reinsurance transactionsResearch industry trends regulatory changes and emerging standards affecting loss liabilities to assess their implications on client portfolios and advise on strategic adjustmentsProvide prompt professional responses to client inquiries and concerns ensuring high levels of client satisfaction and trustCollaborate with team members to develop and deliver impactful proposal presentations for both existing clients and prospectsUtilize our proprietary MetaRisk software suite to design and refine customized reinsurance solutions assessing their impact on clients capital growth potential and risk volatilityActively participate in internal and external meetings contributing insights and expertise to drive strategic discussions and support project objectivesWhat you need to have:Pursuance of bachelors or equivalent degree is requiredOpen 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-opsRelevant prior work experience is a plusProficiency 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 plusGood problem-solving skills attention-to-details and financial aptitudeStrong communication and presentation skills: an ability to translate complex technical analysis and concepts into easily understandable termsCurious and proactive mindset: desire and ability to lead internal initiatives and research projects to completionA collaborative team-oriented individual with effective interpersonal skillsStrong ability to be organized and detail orientedWhy join our team:We help you be your best through professional development opportunities interesting work and supportive leadersWe foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact on colleagues clients and communitiesOur scale enables us to provide a range of career opportunities as well as benefits and rewards to enhance your well-beingThe applicable hourly rate for this role is $30.00.Whats next: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.At Guy Carpenter 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.Guy Carpenter a business of Marsh McLennan (NYSE: MMC) is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk strategy and people advising clients in 130 countries across four businesses: Marsh Guy Carpenter Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90000 colleagues Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information visit or follow on LinkedIn and X.Marsh McLennan 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 Marsh McLennan 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 McLennan 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. Key Skills Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics Employment Type : Full-Time Experience: years Vacancy: 1

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