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 Practice, you will engage in transformative client projects, leveraging your technical expertise and strategic insights to develop, validate, and operationalize actuarial models and methodologies. This role offers a chance to work collaboratively with cutting-edge technologies, including AI, to deliver impactful solutions around more traditional actuarial projects involving pricing, reserving, and capital modeling.
Responsibilities
Data Analytics: Conduct extensive data analyses, managing large datasets to inform strategic decision-making.
Technical Guidance: Provide insights into actuarial methodologies, ensuring high-quality outputs and adherence to governance frameworks.
Stakeholder Collaboration: Engage effectively with clients and senior stakeholders, translating complex findings into actionable recommendations.
Cross-Disciplinary Collaboration: Opportunities to work with engineering teams to translate actuarial specifications into technical requirements and validate outcomes.
Quality Management: Ensure compliance with regulatory standards and internal best practices, rigorously validating data, model outputs and assumptions.
Innovation Contribution: Enhance tools, processes, and methodologies to drive operational excellence within the practice.
Qualifications
Required
Education: BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field.
Experience: 3+ years of actuarial experience. Commitment to pursuing CAS actuarial credentials with a minimum of 3 passed actuarial exams.
Communication Skills: Exceptional verbal and written skills to convey complex information effectively to diverse audiences.
Analytical Mindset: Strong problem-solving capabilities; intellectual curiosity to meet tight deadlines.
Microsoft Suite: Advanced Excel for data analysis and reporting.
Strong Organizational Skills: ability to prioritize, manage multiple tasks and meet project objectives and deadlines.
Preferred
AI Proficiency: Experience utilizing AI technologies for modeling and analytics.
Programming: Knowledge of programming languages (Python, R, SQL is a plus)
Skills Required
- BA/BS in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related field.
- 3+ years of actuarial experience.
- Commitment to pursuing CAS actuarial credentials with a minimum of 3 passed actuarial exams.
- Exceptional verbal and written communication skills.
- Strong problem-solving and analytical mindset with ability to meet tight deadlines.
- Advanced Excel for data analysis and reporting.
- Strong organizational skills and ability to manage multiple tasks and deadlines.
- Experience utilizing AI technologies for modeling and analytics.
- Knowledge of programming languages (Python, R, SQL).
What We Do
Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 7,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC].






