Actuarial Manager

Marsh McLennan

Actuarial Manager modernizing property and casualty insurance models for Oliver Wyman consulting clients. Leading analytics, AI-enabled workflows, and actuarial transformation workstreams.

Posted 9/2/2026full-timeNew York City • Illinois, Massachusetts, New York, North Carolina • 🇺🇸 United StatesMid-LevelSenior💰 $115,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in actuarial methodologies, data analysis, and AI-enabled solutions while effectively communicating insights and recommendations to stakeholders. Proven ability to lead teams, manage complex projects, and ensure compliance with regulatory standards.

Highest-signal resume keywords

Actuarial MethodologiesData AnalysisAI TechnologiesPythonAdvanced Excel

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Actuarial ScienceMathematicsStatisticsEconomicsFinanceData ModernizationProcess AutomationModel TransformationSQLProblem-Solving

Soft Skills

Verbal CommunicationWritten CommunicationIntellectual CuriosityTeam CollaborationTask Management

Certifications & Qualifications

CAS Actuarial CredentialsPassed Actuarial Exams

Industry Keywords

Insurance ChallengesRegulatory RequirementsProfessional StandardsScalable Technical SolutionsMultidisciplinary Teams

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead discrete workstreams within client engagements addressing complex insurance challenges
Support actuarial modernization, process automation, AI-enabled workflows, model transformation, data modernization, and operating model improvement
Analyze large and complex datasets to identify insights, trends, and opportunities
Develop, evaluate, and refine actuarial methodologies, assumptions, models, and analyses
Advise client stakeholders and translate analytical findings into practical recommendations and executive-ready insights
Partner with actuaries, engineers, data scientists, and other specialists to develop scalable technical solutions
Own the quality and accuracy of deliverables and ensure alignment with regulatory requirements and professional standards
Contribute to new actuarial tools, methodologies, automation, AI-enabled solutions, and delivery approaches
Collaborate within multidisciplinary teams, guide junior colleagues, and contribute to team development

Requirements

What you’ll need

BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field
3+ years of actuarial experience
Commitment to pursuing CAS actuarial credentials
Minimum of 5 passed actuarial exams
Exceptional verbal and written communication skills
Strong problem-solving capabilities and intellectual curiosity
Advanced Excel for data analysis and reporting
Ability to prioritize, manage multiple tasks, and meet project objectives and deadlines
Experience utilizing AI technologies for modeling and analytics
Knowledge of Python, R, and SQL
Expected to work in the local office or onsite with clients at least three days per week

Benefits

Comp & perks

Relocation assistance may be available for qualified candidates
Health and welfare benefits
Tuition assistance
401K savings and other retirement programs
Employee assistance programs
Flexible work environment
Remote-work flexibility
Professional development benefits
Performance-based incentives may be available