Actuarial Consultant

Marsh McLennan

Actuarial Consultant modernizing property and casualty insurance models for Oliver Wyman clients. Applying actuarial analysis, AI, automation, and data modernization across global consulting engagements.

Posted 9/2/2026full-timeNew York City • Illinois, Massachusetts, New York, North Carolina • 🇺🇸 United StatesJunior💰 $85,000 - $130,000 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 to address complex insurance challenges. Strong communication skills facilitate the translation of intricate actuarial concepts into actionable insights for stakeholders.

Highest-signal resume keywords

Actuarial MethodologiesData AnalysisAI TechnologiesAdvanced ExcelActuarial Credentials

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Actuarial ScienceMathematicsStatisticsEconomicsFinancePythonRSQLProcess AutomationModel Transformation

Soft Skills

Verbal CommunicationWritten CommunicationProblem-SolvingOrganizational SkillsIntellectual Curiosity

Certifications & Qualifications

CAS Actuarial Credentials

Industry Keywords

Insurance ChallengesData ModernizationOperational Decision-MakingQuality StandardsRegulatory Requirements

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support client engagements by applying actuarial knowledge, analytical skills, and structured problem-solving to complex insurance challenges
Contribute to actuarial modernization, process automation, AI-enabled workflows, model transformation, data modernization, and operating model improvement
Analyze large and complex datasets, identify trends, validate results, and develop insights for actuarial, operational, and strategic decision-making
Apply actuarial methodologies, assumptions, and models to produce accurate analyses
Develop technical expertise, investigate results, identify issues, and recommend solutions
Gather requirements and understand business challenges with client and internal stakeholders
Communicate analytical findings and translate complex actuarial concepts into accessible insights
Collaborate with actuaries, engineers, data scientists, and specialists to translate requirements into technical specifications, test solutions, validate outputs, and support implementation
Validate data, assumptions, calculations, models, and outputs for quality, professional standards, regulatory requirements, and internal best practices
Develop and enhance tools, methodologies, automation, and AI-enabled solutions
Own assigned deliverables, manage priorities and deadlines, and build technical, consulting, and industry knowledge

Requirements

What you’ll need

BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field
1+ years of actuarial experience
Commitment to pursuing CAS actuarial credentials
Minimum of 3 passed actuarial exams
Exceptional verbal and written communication skills
Strong problem-solving capabilities and intellectual curiosity
Advanced Excel for data analysis and reporting
Strong organizational skills; ability to prioritize, manage multiple tasks, and meet project objectives and deadlines
Experience utilizing AI technologies for modeling and analytics
Knowledge of programming languages; Python, R, and SQL are a plus

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 of working together in the office