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SCOR in Zürich is seeking a candidate with strong quantitative and Python programming skills to enhance Internal Model methodologies for L&H risks. You will design robust software solutions, maintain governance, and communicate results to stakeholders across Risk Management, Finance, and L&H units.
The role offers collaboration with Data/AI teams in Paris, Dublin, Zurich and Cologne, and requires a solid quantitative background and the ability to translate methods into scalable software.
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.
As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels in the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.