About this role
The successful candidate will bring strong quantitative and programming capabilities, sound software-engineering judgement and either existing knowledge of L&H insurance risks or a demonstrated ability to quickly develop expertise in new and complex domains.
- Several years of relevant professional experience in risk modelling, actuarial modelling, quantitative modelling or a related quantitative discipline.
- Strong Python programming skills and experience developing and maintaining large object-oriented applications, with a good understanding of software architecture, code quality and maintainability.
- Ability to translate quantitative methodologies into robust, efficient and maintainable software solutions and to improve the performance and scalability of modelling applications.
- Knowledge of Solvency II, the Swiss Solvency Test, IFRS17 or L&H insurance risks is an advantage.
- Solid quantitative background in mathematics, statistics, actuarial science, engineering, computer science or a related discipline.
- Analytical mindset, proactive attitude and strong communication skills.
- Ability to work effectively in an international, multidisciplinary environment.