Non-Life

This training day aims at providing a global view on the pricing chain, covering among other things technical pricing (including Python demos) but also pricing optimization, governance, stochastic pricing and tariff deployment.

This paper benchmarks methods for intra-year ultimate loss projections for Non-Life reserving, avoiding reliance on gross-up proxies. It compares approaches, highlights pros and cons, and offers insurers a palette of options that can be tailored to their needs and risk profile.
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The intersection of ethical considerations and predictive modeling in non-life insurance is becoming increasingly important. Today, the regulatory landscape and scientific research emphasize the need for deeper insights into non-discrimination and fairness in predictive models.

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Python for Insurance/Finance
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Non-Life Pricing : An introduction with Python
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This digital training focus on the performance of insurance companies.
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