Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations
Bachelor’s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics
Related practical experience, preferably in commercial insurance sector
Strong proficiency in statistical modelling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python
Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies
Familiarity with insurance industry regulations, standards, and best practices
Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.
Experience of using AI within daily ways of working
Ability to provide hands-on direction and day-to-day execution ownership in a multidisciplinary team
Relevant knowledge and understanding of business objectives to align with product vision
Demonstrated ability to think both strategically and tactically
Excellent communication and presentation skills; comfortable in engaging with senior leadership
Ability to effectively identify and manage needs of a broad range of stakeholders
Ability to juggle multiple priorities and handle unexpected challenges that arise within projects, adapting quickly and effectively
Strong self-motivator with a contagious ability to spread energy to team
