Oliver Wyman – P&C Practice – Actuarial Consultant

Marsh McLennan•Boston, NY

7d•Hybrid

About The Position

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. 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.

Requirements

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 with a minimum of 3 passed actuarial exams.
Exceptional verbal and written skills to convey complex information effectively to diverse audiences.
Strong problem-solving capabilities; intellectual curiosity to meet tight deadlines.
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, SQL is a plus).

Responsibilities

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.
Conduct detailed analyses across large and complex datasets, identifying trends, validating results, and developing insights that support actuarial, operational, and strategic decision-making.
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.
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.
Work alongside actuaries, engineers, data scientists, and other specialists to translate actuarial requirements into technical specifications, test solutions, validate outputs, and support successful implementation.
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.
Help develop and enhance tools, methodologies, automation, and AI-enabled solutions that modernize actuarial work, improve efficiency, and create greater value for clients.
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.