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Oliver Wyman - P&C Practice - Actuarial Consultant

Job in New York, New York County, New York, 10261, USA
Listing for: MMC
Full Time position
Listed on 2026-09-12
Job specializations:
  • Insurance
    Actuary, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 130000 USD Yearly USD 85000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: New York

Location(s):
New York City and Chicago are the primary preferred locations for this role. We are also open to candidates based in Charlotte, Boston, Toronto, and other Oliver Wyman office locations. Relocation assistance may be available for qualified candidates.

Company Overview

The Property and Casualty Consulting Practice assists (re) insurance companies, self-insured corporations, government entities, and other organizations with all aspects of managing property and casualty insurance exposures. We guide P&C clients on their qualitative assessment and quantification of risk and loss exposures, and offer advice on a range of issues, from external business strategy and internal risk management to economic capital modeling and new product development.

Position

Summary

As a consultant in our P&C Actuarial Insurance Practice, you will engage in transformative client projects, leveraging your technical expertise and strategic insights to develop, validate, and operationalize actuarial models, methodologies, and workflows. As part of a globally connected practice, you will collaborate with colleagues and clients across geographies, with opportunities to contribute to and deliver projects on a global basis.

This role offers the chance to work with multidisciplinary teams and cutting-edge technologies, including AI, to deliver impactful solutions across a wide range of actuarial disciplines, including pricing, reserving, and capital modeling.

Responsibilities
  • Deliver Transformative Actuarial Solutions:
    Support client engagements by applying actuarial knowledge, analytical skills, and structured problem‑solving to complex insurance challenges.
  • Contribute to initiatives such as actuarial modernization, process automation, AI-enabled actuarial workflows, model transformation, data modernization, and operating model improvement.
  • Analyze and Interpret Complex Data:
    Conduct detailed analyses across large and complex datasets, identifying trends, validating results, and developing insights that support actuarial, operational, and strategic decision‑making.
  • Execute Actuarial Analyses:
    Apply established actuarial methodologies, assumptions, and models to produce accurate, well‑supported analyses. Develop technical expertise while exercising judgment in identifying issues, investigating results, and recommending potential solutions.
  • Support Client Engagement:
    Work directly with client and internal stakeholders to gather requirements, understand business challenges, and communicate analytical findings clearly. Help translate complex actuarial concepts and results into practical, accessible insights.
  • Collaborate Across Actuarial and Technology Teams:
    Work alongside actuaries, engineers, data scientists, and other specialists to translate actuarial requirements into technical specifications, test solutions, validate outputs, and support successful implementation.
  • Ensure Quality and Accuracy:
    Perform rigorous validation of data, assumptions, calculations, models, and outputs, identifying and resolving issues and ensuring work aligns with professional standards, regulatory requirements, and internal best practices.
  • Contribute to Actuarial Innovation:
    Help develop and enhance tools, methodologies, automation, and AI-enabled solutions that modernize actuarial work, improve efficiency, and create greater value for clients.
  • Contribute to High‑Performing Teams:
    Take ownership of assigned deliverables, manage priorities and deadlines effectively, collaborate across project teams, and actively build the technical, consulting, and industry knowledge needed to take on increasing responsibility.
Qualifications
  • Education:

    BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field.
  • Experienc…
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