Corporate Actuary & Portfolio Management - Zurich Topas Life

We are seeking a highly motivated and experienced Corporate Actuary & Portfolio Management professional to lead actuarial initiatives and provide critical business insights. This role will be responsible for delivering actuarial analyses, supporting strategic decision-making, and ensuring robust risk and financial management across the organization.

The successful candidate will lead a team, oversee actuarial processes, and contribute to risk-based capital modeling, while continuously improving systems, methodologies, and talent capability within the actuarial function

• Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, or related field.
• Qualified or nearly qualified actuary (FSAI of recognized actuarial body preferred).
• Proven experience in actuarial work such as reserving, pricing, capital modeling, or risk management.
• Strong analytical, statistical, and modeling skills.
• Proficiency in actuarial tools/programming (e.g., Excel, R, Python, SAS, Prophet, etc.).
• Solid understanding of risk-based capital frameworks and financial reporting standards.
• Demonstrated leadership and people management experience.
• Strong communication and stakeholder management skills

• Lead and develop the actuarial team, ensuring timely delivery of both routine tasks and more complex analyses with appropriate oversight.
• Perform actuarial analyses across reserving, financial reporting, pricing, and quantitative risk management.
• Build, maintain, and enhance statistical models analyze data and interpret results to provide actionable business insights.
• Provide actuarial advice to stakeholders, including insights into business performance and financial implications.
• Manage actuarial data flow and quality to ensure accuracy, consistency, and reliability of outputs.
• Support the development, calibration, and enhancement of risk-based capital (RBC) models.
• Ensure compliance with internal actuarial policies and standards, while driving improvements in systems, processes, and methodologies