Behavioural Analytics Consultant applying cutting-edge research from behavioural science to influence underwriting strategy. Join a close-knit team at Swiss Re, focusing on human behaviour insights.
Responsibilities
Independently design and deliver analytics and behavioural science workstreams in support of strategic and underwriting-relevant projects.
Apply qualitative and quantitative research methods (e.g. regression analysis, hypothesis testing, survey design and analysis, surveys of AI simulated populations) to generate insights into human decision-making in insurance settings.
Source, assess, clean and integrate internal and external datasets, ensuring analytical robustness and business relevance.
Support the development of AI use-cases across the value-chain of the workstreams performed by the behavioural science community across the SR Group.
Conduct structured literature reviews across behavioural science, economics and decision science, synthesising academic and applied insights into clear strategic implications.
Translate analytical findings into concise, decision-ready recommendations for senior stakeholders.
Ensure behavioural perspectives are embedded in broader business and strategy discussions across Life & Health.
Own the end-to-end delivery of behavioural analytics projects or analytics components within internal consulting projects and selected external engagements.
Structure ambiguous business questions into analytical approaches and clearly defined outputs.
Combine behavioural insights with data-driven thinking, design thinking and user-centric approaches to create scalable solutions for Swiss Re and its clients.
Act as a subject-matter expert in behavioural economics and analytics, supporting colleagues in the BRU and wider SR Group.
Requirements
An advanced degree (e.g. master's degree or PhD) in behavioural science with emphasis on data skills, or qualifications in related disciplines (e.g. quantitative UX/UI analysis), or An analytics degree (e.g. master's degree or PhD) in applied mathematics or statistics, econometrics or another related field and a basic understanding of and keen interest in behavioural science and/or user experience design
Fluent in a programming language (e.g. R, Python, SQL, Matlab, Stata) and familiar or keen to learn the use of these tools: Qualtrics, Palantir, MS Suite including Power BI, MS Forms, Power Automate, Copilot, as well as Excel, PowerPoint
Familiarity with AI tools (e.g., Copilot, GPT‑based agents) and interest in developing behavioural AI prototypes.
3-6 years of professional experience in consulting or analytics in research and/or a corporate environment, ideally in the insurance sector
Excellent ability to communicate in English to a variety of stakeholders, other languages a plus.
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