Article
03 March 2026 - by Yun-Tien Lee, Pranav Rupireddy, Mehdi Echchelh, Victor Morales, Pierre Miehé
We make the case for why (re)insurers and pension plans should consider using the programming language Julia for critical actuarial, reserving, and ALM models.
Article
03 April 2025 - by Karol Maciejewski, Mehdi Echchelh
The use of Python is on the rise, but is it a good choice for an actuarial modelling platform?
Article
03 April 2025 - by Karol Maciejewski, Mehdi Echchelh
Pythonの利用が増えていますが、これは数理モデリングのプラットフォームとして適切な選択肢でしょうか？
Article
14 March 2023 - by Karol Maciejewski, Mehdi Echchelh, Dominik Sznajder
正しい知見があれば、Pythonを用いた生命保険プロジェクションおよびALMの社内モデルを設計・実装することで、モデルパフォーマンスの大幅な改善が可能です。
Article
14 March 2023 - by Karol Maciejewski, Mehdi Echchelh, Dominik Sznajder
With the right expertise, designing and implementing an in-house life projection and ALM model using Python can yield significant model performance improvements.
Article
29 November 2021 - by Fanny Pouget, Rémi Bellina, Mehdi Echchelh, Karol Maciejewski, Christoph Krischanitz, Bartosz Gaweda, Dominik Sznajder, Raymond van Es, Talex Diede, Kshitij Srivastava, Nathan Wilbanks, Mike Hoyer, Clement Bonnet
データ分析および機械学習の出現は、保険会社および再保険会社に対し、自社のビジネスを解析・モニターする方法に新たなインサイトを提供しています。
Article
29 November 2021 - by Fanny Pouget, Rémi Bellina, Mehdi Echchelh, Karol Maciejewski, Christoph Krischanitz, Bartosz Gaweda, Dominik Sznajder, Raymond van Es, Talex Diede, Kshitij Srivastava, Nathan Wilbanks, Mike Hoyer, Clement Bonnet
The emergence of data analytics and machine learning is providing insurers and reinsurers with new insights into how they drive and monitor their business.