Overview In this role, you will help build and validate actuarial models for property & casualty clients, translating complex analyses into actionable guidance. You'll work with cross-functional teams to leverage data analytics and emerging AI tools, shaping risk assessment, pricing, reserving, and capital modeling. You'll engage clients and senior stakeholders, ensuring governance and quality throughout the model lifecycle. This is a growth-focused opportunity at Oliver Wyman, with hybrid work and a strong emphasis on collaboration and impact.
Compensation / Benefits- health and welfare benefits
- tuition assistance
- 401K savings and other retirement programs
- employee assistance programs
- performance-based incentives
Responsibilities- Data analytics to inform strategic decisions using large datasets
- Provide technical guidance on actuarial methodologies and governance
- Stakeholder collaboration, translating findings into actionable recommendations
- Cross-disciplinary collaboration with engineering to translate actuarial specs into technical requirements
- Quality management ensuring regulatory compliance and rigorous validation of data and model outputs
- Innovation contributions to tools, processes, and methodologies to drive operational excellence
Key requirements- BA/BS in Actuarial Science, Mathematics, Statistics, Economics, or Finance
- 3+ years actuarial experience
- Pursuit of CAS actuarial credentials with at least 3 passed exams
- Exceptional verbal and written communication skills
- Strong analytical mindset and problem-solving abilities
- Advanced Excel proficiency
- Strong organizational skills for prioritization and meeting deadlines
- exceptional communication
- analytical mindset
- stakeholder management
- AI technologies for modeling and analytics
- Python
- R
