Vice President, Analytics Models – Innovation

Marsh McLennan

. Lead digital deployment and integration of actuarial models and content .

Posted 9/30/2026full-timeUnited StatesLead💰 $121,900 - $259,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in actuarial analysis, statistical modeling, and digital product development, with a strong ability to communicate complex technical concepts to diverse stakeholders. Proven experience in project management and collaboration to drive successful model deployment and integration within digital environments.

Highest-signal resume keywords

Actuarial AnalysisDigital Product DevelopmentProject ManagementProbability and StatisticsStochastic Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mathematical ModelingData ScienceRisk AnalyticsPredictive ModelingMonte Carlo SimulationModel IntegrationAnalytics Tool DevelopmentModel DeploymentGovernance FrameworksTechnical Presentations

Soft Skills

Clear CommunicationCollaborative Problem-SolvingCoaching and DevelopmentStakeholder EngagementAccountability

Certifications & Qualifications

ACASFCASASAFSA

Industry Keywords

InsuranceProperty and CasualtyLoss ModelingRisk FinancingModel Testing

About the role

Key responsibilities & impact

Lead digital deployment and integration of actuarial models and content
Engage with digital product development teams and provide expert guidance on actuarial methodologies, model integrations, and product development
Contribute to product design, testing, and presentations to senior internal stakeholders
Manage model deployment and integration with digital products from planning through delivery
Establish scope, responsibilities, milestones, and deadlines; coordinate analysts and development teams; and resolve methodological gaps, technical questions, and delivery risks
Guide product development and integration throughout the product lifecycle
Serve as the primary point of contact and subject matter expert for digital analytics content
Educate stakeholders on methodologies, calculations, and model outputs
Create governance frameworks for deploying and monitoring analytics content, testing, use-case challenges, and alternative approaches
Present methodology and design decisions, explaining results, uncertainty, and implications to strategists, analytics leaders, and executives
Develop presentations connecting technical analysis to stakeholder decisions
Partner with colleagues to understand client needs, shape analytical approaches, and explain capabilities to existing and prospective clients
Coach and develop colleagues

Requirements

What you’ll need

Six or more years of relevant technical experience in actuarial analysis, statistics, mathematical modeling, data science, risk analytics, or a related quantitative field
Strong foundation in probability, statistics, and quantitative modeling
Significant digital product development experience, or experience deploying models to production environments
Strong project management skills
Clear written and verbal communication skills, with the ability to explain technical concepts and business implications to nontechnical audiences
Collaborative approach to problem-solving and accountability for work quality
Actuarial exam progress toward ACAS or FCAS, or an earned ACAS or FCAS designation is valued
Other actuarial credentials, including ASA or FSA, are valued
Insurance experience, particularly in property and casualty, loss modeling, insurance program evaluation, or risk financing, is valued
Software development experience, particularly developing analytics tools and products, is valued
Experience with stochastic modeling, Monte Carlo simulation, predictive modeling, or retained-loss analysis, is valued

Benefits

Comp & perks

Professional development opportunities
Flexible work environment
Health and welfare benefits
Tuition assistance
401K savings
Other retirement programs
Employee assistance programs
Performance-based incentives may be available