Cyber Analytics Actuarial Co-op

Marsh McLennan

. Organize client data, check data for reasonability, load data into predictive models, run models, share insights and compile narratives for clients .

Posted 10/19/2026full-timeUnited StatesEntry Level💰 $27 - $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analysis, risk evaluation, and data management, utilizing tools such as SQL and Python to support decision-making in reinsurance transactions. Strong communication and organizational skills are essential for translating complex analyses into actionable insights for clients.

Highest-signal resume keywords

Quantitative AnalysisRisk EvaluationSQL ProficiencyPython ProficiencyMicrosoft Office Suite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingStatistical AnalysisFinancial AnalysisSQLPythonRAlteryxPower BIActuarial Science

Soft Skills

Problem-SolvingAttention to DetailCommunication SkillsPresentation SkillsCollaborative Approach

Tools & Technologies

MetaRiskMicrosoft Office SuiteSQLPythonRAlteryxPower BI

Industry Keywords

ReinsuranceRisk ExposureLoss LiabilitiesInsuranceData ScienceEconomicsMathematicsStatistics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Organize client data, check data for reasonability, load data into predictive models, run models, share insights and compile narratives for clients
Conduct quantitative analyses of client data to evaluate risk exposures and forecast potential outcomes
Support decision-making in reinsurance transactions
Research industry trends, regulatory changes and emerging standards affecting loss liabilities
Assess implications on client portfolios and advise on strategic adjustments
Respond to client inquiries and concerns
Collaborate on proposal presentations for existing clients and prospects
Use MetaRisk software to design and refine customized reinsurance solutions
Assess impacts on clients’ capital, growth potential and risk volatility
Participate in internal and external meetings
Contribute insights to strategic discussions and project objectives

Requirements

What you’ll need

Pursuance of bachelor’s or equivalent degree is required
Actuarial science, Data science, Statistics, Mathematics or 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 or Power BI is a plus
Good problem-solving skills, attention to detail and financial aptitude
Strong communication and presentation skills
Ability to translate complex technical analysis and concepts into understandable terms
Curious and proactive mindset
Ability to lead internal initiatives and research projects to completion
Collaborative, team-oriented approach with effective interpersonal skills
Strong organizational and detail-oriented abilities

Benefits

Comp & perks

Professional development opportunities
Interesting work and supportive leaders
Vibrant and inclusive culture
Flexible work environment
Benefits and rewards to enhance well-being
Remote work flexibility
Collaboration, connections and professional development benefits from working in the office