Actuarial Consultant — Data Analytics & AI Modeling

MMC; New York (NY); Hybrid; USD 70,000 - 130,000; Full time

Job summary

Oliver Wyman's Actuarial Practice seeks a consultant for U.S. P&C engagements to develop, validate, and operationalize actuarial models and methodologies. You will leverage data analytics and collaborate with senior stakeholders to deliver high-impact solutions.

The role emphasizes pricing, reserving, and capital modeling with opportunities to apply AI-driven techniques and to work with engineering teams across client projects.

Qualifications

• Education: BA/BS in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field.
• 3+ years of actuarial experience.
• Pursuing CAS credentials with a minimum of 3 passed actuarial exams.
• Excellent communication and data analysis skills.
• Advanced Excel for data analysis and reporting.

Responsibilities

• Data analytics: conduct extensive data analyses to inform decisions.
• Technical guidance: provide actuarial insights and governance-compliant outputs.
• Stakeholder collaboration: translate findings for clients and senior stakeholders.
• Cross-disciplinary collaboration: work with engineering to translate specs into technical requirements.
• Quality management: validate data, models, and assumptions per standards.
• Innovation contribution: enhance tools and processes for better operations.

Skills

Actuarial experience

Communication skills

Analytical mindset

Microsoft Excel

Programming: Python, R, SQL

AI proficiency

Education

BA/BS in Actuarial Science/Math/Stats/Economics/Finance

Tools

Python

R

SQL

Job description

Oliver Wyman's Actuarial Practice seeks a consultant for U.S. P&C engagements to develop, validate, and operationalize actuarial models and methodologies. You will leverage data analytics and collaborate with senior stakeholders to deliver high-impact solutions.

The role emphasizes pricing, reserving, and capital modeling with opportunities to apply AI-driven techniques and to work with engineering teams across client projects.