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About the Role
As a consultant in our P&C Actuarial Insurance Practice, you will engage in transformative client projects, leveraging technical expertise and strategic insights to develop, validate, and operationalize actuarial models, methodologies, and workflows. 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.
Responsibilities
- Lead discrete workstreams within client engagements, applying actuarial expertise, advanced analytics, and structured problem-solving to address complex insurance challenges.
- Support initiatives such as actuarial modernization, process automation, AI-enabled actuarial workflows, model transformation, data modernization, and operating model improvement.
- Perform sophisticated analyses across large and complex datasets, identifying insights, trends, and opportunities that inform actuarial, operational, and strategic decision-making.
- Develop, evaluate, and refine actuarial methodologies, assumptions, models, and analyses, bringing sound technical judgment and ensuring outputs are robust, well-governed, and fit for purpose.
- Work directly with client stakeholders to understand business needs, communicate complex actuarial concepts clearly, and translate analytical findings into practical recommendations and executive-ready insights.
- Partner with actuaries, engineers, data scientists, and other specialists to translate actuarial requirements into scalable technical solutions, validate outputs, and support implementation.
- Take ownership for the quality and accuracy of assigned deliverables, challenging data, assumptions, methodologies, and model outputs while ensuring alignment with regulatory requirements and professional standards.
- Contribute to the design and development of new tools, methodologies, automation, AI-enabled solutions, and delivery approaches that modernize actuarial work, improve efficiency and insight, and expand the capabilities of the insurance consulting practice.
- Collaborate effectively within multidisciplinary teams, provide guidance to junior colleagues, and contribute to a culture of learning, innovation, and high performance.
Requirements
- 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 with a minimum of 5 passed actuarial exams.
- Exceptional verbal and written skills to convey complex information effectively to diverse audiences.
- Strong problem-solving capabilities and intellectual curiosity to meet tight deadlines.
- Advanced Excel for data analysis and reporting.
- Strong organizational skills with the 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).
Skills
- Actuarial expertise
- Advanced analytics
- Structured problem-solving
- Data analysis
- Actuarial modeling
- AI technologies
- Python
- R
- SQL
- Microsoft Excel
Location
- New York City
- Chicago
- Charlotte
- Boston
- Toronto
- Other Oliver Wyman office locations
Work Type
- Hybrid
- Full-time
Experience Level
- 3+ years of actuarial experience
Education Level
- BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field.
Salary/Compensations
- $115,000-$155,000
Benefits
- Relocation assistance may be available for qualified candidates.
- Performance-based incentives
- Health and welfare benefits
- Tuition assistance
- 401K savings and other retirement programs
- Employee assistance programs
About the Company
- Oliver Wyman is a global leader in management consulting with offices in over 70 cities across 30 countries, combining deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation.
- 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.
- Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries.
- Marsh has annual revenue of over $27 billion and more than 95,000 colleagues.
- The Actuarial Practice of Oliver Wyman, a Marsh business, advises clients across a broad spectrum of risk management issues and is a rapidly growing group with offices expanding across the globe.
- Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s).
- We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk.
- Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events.
- We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of risk: healthcare, life and annuity, and property and casualty.
Equal Opportunity
- Marsh and its Affiliates are EEO Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.
- Marsh is committed to embracing a diverse, inclusive and flexible work environment.
- Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office.
- All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week.
- Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.