We are seeking a strategic leader to head our Actuarial division during a pivotal phase of transformation. This role is ideal for someone with a strong foundation in finance and data analysis, who can translate complex information into decisions that drive business performance across portfolios.
Key Responsibilities
- Champion the company’s analytics vision by embedding data into strategic decision-making and portfolio oversight.
- Build and lead a high-performing, multicultural analytics team from the ground up, aligned with evolving business priorities.
- Establish scalable processes and best practices to ensure consistent, high-impact delivery of insights.
- Partner directly with executive leadership to define key performance indicators, shape business strategy, and deliver actionable recommendations.
- Lead time-sensitive initiatives with precision, ensuring insights are timely and relevant to business needs.
- Translate complex data into clear, strategic guidance that supports measurable outcomes across portfolios.
- Use data to uncover growth opportunities, solve business challenges, and optimize portfolio performance.
- Oversee the development and deployment of predictive models and AI tools, ensuring alignment with business goals.
- Communicate analytical findings in a clear and compelling way to both technical and non-technical stakeholders.
Requirements :
Bachelor's degree in Actuarial Science or StatisticsPrior experience in InsuranceAdvanced SQL and Python for data modeling, forecasting, and auditing.Strong proficiency in Power BI (Data visualization).Ability to translate complex data into actionable business recommendations.Solid foundation in data science and analytics methodologies.Understanding of data’s role in driving innovation in regulated industries.Adoption and scalability of analytics processes across the organization.Team growth and effectiveness across multiple business lines.Familiarity with metrics such as GWP, NB, Retention Rate, Win Rate, Loss Ratio, PIF, and more.Fluent in English (will be tested)