Catastrophe Research Analyst
- Evaluation of catastrophe models (e.g. Verisk) - this includes design of model tests, review of vendor/broker model evaluation documents, testing and challenging model components and results, and making clear recommendations for model adjustments where required.
- Support in developing the View of Risk, collaborating with the catastrophe modelling, actuarial, claims and UW teams to review, challenge, identify key issues and provide solutions and recommendations.
- Creation of custom tools for non-modelled and poorly modelled risks as well as development of tools and novel techniques for evaluation of models and model results. This includes use of GIS as well as other analytical products.
- Identification of potential large loss scenarios to which Liberty may be exposed and involvement with assessment of emerging risks.
- Adherence to all relevant regulatory requirements forms part of your role, and the demonstration of behaviours as set out in the Conduct Risk Policy, as they relate to your role, is core to LSM's commitment to our Liberty Values, placing customers at the centre of our business and behaving with integrity. LSM expects you to understand your responsibilities relating to all regulatory and internal requirements, and to proactively demonstrate compliance with these requirements and behaviours at all times. These requirements include the Senior Managers and Certification Regime Conduct Rules ,Solvency II, fair treatment of customers, Financial Crime, Data Protection, Conflicts of Interest, and Whistleblowing
- Graduate degree in geosciences, atmospheric science, mathematics, engineering or other applicable scientific fields.
- Catastrophe modelling experience.
- Strong knowledge of at least one catastrophe model suite (e.g. RMS, Verisk) or experience in cat model development.
- Good knowledge of insurance concepts and the exposure management process.
- Strong data mining skills, with experience in working with large data sets.
- Programming and data analysis experience in any one language - e.g. R, Python and SQL
- Strong statistical and quantitative modelling skills with excellent written/verbal communication skills.
- Experience in GIS software or geospatial data analyses.
- Able to work in a team and autonomously, and general willingness to learn and develop skills further.
- Offering a vibrant and inclusive environment and committing to their career development.
- Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee-led networks strengthen the diversity of our workforce and our inclusive environment.
- Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals.
- A supportive culture, which includes promoting a healthy work-life balance and working flexibly.
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