Product Manager shaping product strategy and execution in AI - driven enterprise solutions at Tessera Labs. Collaborating across teams to deliver measurable business impact with innovative products.
About the role
- Product Manager in agriculture underwriting at Swiss Re developing tools and methodologies. Collaborating with global teams to enhance decision-support capabilities with AI-driven solutions.
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
- Flexible work arrangements
- Professional development opportunities
Job title
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Not specified
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