Lead development squads and connect business areas with IT for Brazil's top airline. Ensure high - complexity technology solutions meet business objectives.
About the role
- Senior Product Manager developing AI-driven solutions and methodologies for Swiss Re's Agriculture team. Collaborating globally to enhance underwriting processes and training initiatives.
Responsibilities
- Co-Own and develop the global agriculture underwriting tool landscape, ensuring effective deployment, user adoption, and delivery of high-quality trainings across all regions
- Drive the development and implementation of advanced quantitative methodologies to enhance costing, pricing, forecasting, and portfolio-optimization capabilities
- Safeguard and continuously maintain underwriting standards to ensure consistency, quality, and alignment with Agriculture's underlying business and its strategic objectives
- Lead the integration and governance of AI-driven solutions within the agriculture underwriting ecosystem, ensuring responsible adoption, enhanced decision-support capabilities, and continuous improvement of digital underwriting processes
- Collaborate with Agricultural Management Team on governance, reporting, and strategic steering topics and facilitation of Smart Circles
- Harmonise costing standards across regions, designing and delivering underwriting training
- Assume underwriting responsibility for selected markets, covering both treaty and facultative business across all agriculture sublines
- Contribute to global and cross-functional workstreams, supporting initiatives of both the broader Swiss Re Group and Global Specialty
Requirements
- Minimum of 5 years of relevant re/insurance industry experience
- University degree in a quantitative field such as finance, mathematics/statistics, actuarial or natural science or agriculture
- Strong data science/analytic and problem-solving skills
- Sound understanding of econometrics/statistics, previous exposure to quantitative finance methods an advantage
- Programming skills in Python or R as well as Microsoft Office
- Experience in project management, automation, and tool development
- Familiarity with AI-driven methods or AI-supported workflows is an advantage
- Comfortable working in a reinsurance underwriting environment
- Strong communication and organisational skills, with the ability to collaborate effectively in a global, culturally diverse setting
- Excellent oral and written English; additional languages are an asset.
Benefits
- attractive performance-based bonus
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