In this role you will develop proprietary Climate & Nature investment frameworks and quantitative models that feed directly into the investment process. You will transform complex sustainability datasets into actionable analytics, covering ITR and other metrics. You’ll collaborate with investment, research and technology teams to translate research into insights. This is a specialist climate analytics role focused on impact investing, not general portfolio analytics. The position offers global exposure with bases in London or Geneva.
Responsibilities
Develop proprietary Climate & Nature investment frameworks, including Implied Temperature Rise (ITR)
Build quantitative models and investment signals using climate, emissions, transition risk, biodiversity datasets
Evaluate sustainability data, develop proprietary datasets and ensure their quality and robustness
Collaborate with investment, research and technology teams to translate quantitative research into actionable investment insights
Key requirements
PhD in a quantitative discipline
Strong Python programming, quantitative modelling and data analysis
Around 5–10+ years’ quantitative experience with ESG, sustainability, climate, emissions, transition risk, biodiversity or nature-related datasets
Background in sustainable investing, climate analytics or environmental data
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