We are looking for a Quantitative Risk Analyst to join the "Capital & Risk" team of a insurance company in switzerland. This role combines quantitative capital modelling with a strong focus on automation and modern analytics.
Key responsibilities include:
Develop, calibrate, and maintain models and dependencies feeding into the economic capital model
Analyse model outputs and support the interpretation of results for risk monitoring and decision‑making
Contribute to model documentation, validation, and continuous improvement
Support risk management and reporting activities with a strong focus on automation and efficiency gains
Design and implement automated workflows, analytics, or reporting solutions using R, Python, and modern AI tools
Explore the practical use of AI (including LLM‑based tools and agentic workflows) to streamline recurring analytical and reporting tasks, in line with governance standards
Requirements
You are motivated to apply quantitative methods in a real business context and enjoy working at the intersection of modelling, data, and technology.
Strong quantitative background (e.g. mathematics, physics, engineering, quantitative finance)
Solid programming skills, ideally in R and/or Python
Good understanding of statistical modelling and data analytics