Job Title

OverviewKey Responsibilities (including but not limited to):Performing and documenting model evaluation deep dives for areas of high peril materiality and abridged model evaluations for lower materiality regionsKeeping abreast of the latest scientific research and emerging technologies to inform novel approaches to developing business view of riskAssisting the provision of relevant model evaluation materials for company reportingPresenting results regularly to a wide range of audiences including clients, brokers, senior management and investorsRepresenting company at national and international scientific and industry forumsQualifications RequiredA strong academic record, to degree level (2:1 or Higher or equivalent) and a higher degree (PhD) including a period of specific research with a focus in a risk sciences area such as meteorology, climatology, seismology, or hydrologyExperience RequiredStrong proficiency in programming languages for data analysis (e.g. Python, R, SQL) with a strong preference for candidates who have hands-on experience applying machine learning or Al techniques to real-world problemsThe ability to and interest in working collaboratively across different teamsComfort in presenting both internally to senior management and investors and externally to clients or at industry or academic conferencesIt would also be beneficial if you have a strong interest or knowledge of the key principles of commercial catastrophe models, climate models and the data and formats used in climate modelling