(Senior) Consultant handling digitalization and transformation projects in energy sector. Collaborating with management, assessing processes, and driving implementation strategies.
About the role
- 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.
Benefits
- Flexible working hours
- Professional development opportunities
- Health insurance
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