Organize client data, verify its reasonability, load it into catastrophe models, run simulations, and share outputs with senior colleagues to assess client risk exposure.
Perform calculations to evaluate a range of risk exposures and predict outcomes supporting reinsurance transactions.
Develop expertise in region
or peril-specific catastrophe risk management through research and experience.
Review complex analyses completed by project team members and evaluate resulting data sets to calculate client risk exposure.
Establish and maintain client relationships, resolving questions and challenges as they arise.
Prepare summaries, presentations, and reports to communicate potential risks, loss results, and portfolio improvement recommendations to clients.
Requirements
Bachelor’s degree (or equivalent) in a quantitative or natural sciences field such as applied mathematics, statistics, engineering, operations research, finance, economics, data science, computer science, or meteorology.
7+ years of experience in catastrophe risk modelling or related fields.
Demonstrated ability to quickly learn new software and analytical concepts.
Strong academic record and fluent English; Spanish language skills strongly preferred.
Proactive mindset with the ability to lead internal initiatives and research projects to completion.
Robust data management skills with the ability to manipulate, interpret, and extrapolate complex data.
Superior communication and presentation skills to translate complex technical analysis into understandable terms for brokers and clients.
Strong analytical, problem-solving skills, attention to detail, and financial aptitude.
Collaborative, team-oriented approach with strong interpersonal skills to build and maintain client and internal relationships.
Solid computer skills including Microsoft SQL, Office (Excel, Word, PowerPoint), and basic coding in any language.