Risk Scientist

Overview Key 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 regions
• Keeping abreast of the latest scientific research and emerging technologies to inform novel approaches to developing business view of risk
• Assisting the provision of relevant model evaluation materials for company reporting
• Presenting results regularly to a wide range of audiences including clients, brokers, senior management and investors
• Representing company at national and international scientific and industry forums

• A 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 hydrology

• Strong 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 problems
• The ability to and interest in working collaboratively across different teams
• Comfort in presenting both internally to senior management and investors and externally to clients or at industry or academic conferences
• It 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