Job Overview
Catastrophe modelling research analysts play a pivotal role in assessing and mitigating global catastrophe risk. They work on evaluating catastrophe models, conducting climate research, and performing risk analysis across various perils.
* Evaluate catastrophe models from external vendors using portfolio assessments and internal processes.
* Develop and integrate research findings into modelling processes to enhance catastrophe and climate risk understanding.
* Contribute to global projects with internal and external partners to drive collaborative outcomes.
* Analyse model components to assess their suitability and impact.
* Present recommendations and insights to stakeholders.
* Provide support for ad-hoc tasks such as catastrophe event response and data analysis.
Requirements
* Bachelor's or higher degree in Mathematics, Statistics, Actuarial Science, Natural Hazards, Geophysics, Engineering, or a related field is required.
* Proficiency in catastrophe modelling tools (e.g., RMS, AIR) and programming languages (e.g., Python, R, SQL) is necessary.
* Demonstrated experience in catastrophe modelling, risk analysis, or a related field is preferred.
* Strong communication skills for presenting technical insights to diverse audiences are essential.
* A curious and proactive approach to exploring model assumptions and challenging vendor methodologies is beneficial.
About the Role: As a catastrophe modelling research analyst, you will be part of a dynamic team responsible for driving innovation in catastrophe risk management. You will contribute to the development of advanced modelling techniques, collaborate with global partners, and provide critical insights to inform business decisions.
Your Skills and Qualifications: We are looking for an analytical and detail-oriented individual with a strong background in mathematics, statistics, or a related field. You should have proficiency in catastrophe modelling tools, programming languages, and data analysis software. Experience in catastrophe modelling, risk analysis, or a related field is preferred.