
Associate - Catastrophe and Climate Risk Modelling
1 week ago
**Description**:
Principal Duties:
- Support the Climate Practice team in catastrophe modelling and cat risk engineering assessments using the vendor models (RMS, KatRisk etc.) and in-house models and tools.
- Support wide range of risk consulting projects involving the undertaking of catastrophe risk modelling and engineering assessments including presentation of findings to internal and external clients.
- Day-to-day tasks will include data quality assessment of raw data to be fed into catastrophe models, reviews of exposures to natural hazards as well as preparation of modelling input files, running of market recognized models such as RMS/KatRisk and the review, interpretation and validation of the output in light of underlying modelling assumptions and their limitations.
- The role would also include helping to prepare and present output data from the models to support actuarial analyses and bigger projects carried out by other teams.
- Utilize geospatial tools like QGIS to analyse, edit, and visualize spatial data in support of modelling and product insights.
- Maintain strong working knowledge of vendor models (RMS, KatRisk) as well as in-house catastrophe modelling frameworks.
- Liaison with colleagues and clients in different time zones and regular updates on progress.
**Qualifications**:
**Qualification**:
- Graduate/Post-Graduate degree in a quantitative field such as Mathematics, Statistics, Engineering or equivalent.
**Knowledge**:
- Strong knowledge and proficiency in using catastrophe models like RMS and KatRisk.
- Knowledge of underlying exposure and results data structure in catastrophe models and use of SQL server management studio for database and data management.
- Good understanding on natural catastrophe perils such as earthquake, windstorm, severe thunderstorm etc.
- Understanding of climate risk and emerging natural hazard modelling techniques is a plus.
**Skills and Experience**:
- 5-10 years of experience in catastrophe risk modelling, with deep expertise in using third-party models such as RMS and AIR, and a strong understanding of probabilistic and catastrophe modelling concepts.
- Strong written and verbal communication skills, with the ability to simplify complex technical concepts for both technical and non-technical stakeholders.
- Advanced analytical and problem-solving skills, with the ability to leverage various data sources to generate insights and solve real-world problems.
- Collaborative team player with a proactive mindset and the ability to build strong working relationships across global teams.
- Self-motivated and innovative, with the ability to work independently and develop creative solutions where conventional approaches do not exist.
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