A seminar organised by Allianz Reinsurance in collaboration and co-hosted with Singapore Reinsurers Association (SRA) Technical Sub-Committee
Date: Wednesday, 3rd September 2025
Time: 2:30 pm – 5:30 pm SGT
Venue: Allianz Training Centre – No. 79 Robinson Road #08-01 CapitaSky Singapore 068897
The seminar is part of a series of capacity building programmes that the SRA’s Technical Sub-Committee is organizing to raise awareness of industry practitioners and promote adoption of international best practices on issues related to Natural Catastrophe Risk Management.
This seminar is the 1st out of 3 series organized by SRA Technical sub-committee. Seminar 2 and 3 will be held in 2026.
Speakers:
Dr Bharath Raja, Nat Cat Expert, Munich Re
Ms Juivy Tan, Executive Director, Head of Catastrophe Analytics, Gallagher Re
Ms Pearlyn Au, Nat Cat Modeler, Allianz Re
This seminar series promises to equip you with valuable insights into the evolving landscape of catastrophe modelling, and the skills needed to effectively utilize Cat Modelling data in your professional endeavours.
This seminar is designed to provide you with the fundamentals and understanding of Catastrophe (Cat) Modelling, an essential tool in risk management. Through engaging discussions and experts insights, you will explore the intricacies of how Cat Models work, including the components and the data preparation as well as the impact of geocoding resolution on modelling results. You will also gain valuable knowledge about how insurers/reinsurers utilise Cat Data to help in their understand of risks.
Upcoming:
In Series 2 seminar, we will examine the current and emerging catastrophe models from vendors and brokers, focusing on perils such as inland flooding and tsunamis, and discuss the benefits and challenges reinsurers face in ensuring model accuracy and compliance.
In Series 3, we will delve into the complexities of model development, highlighting the impact of climate change on this process, and address key considerations for underwriters when utilizing catastrophe modelling results.