ESG Quant Analyst
Mason Blake · London, England ·
Overview In this role you will advance ESG research and build proprietary datasets to support responsible investing. You will collaborate with investment teams to translate ESG insights into actionable decisions and help scale research processes with AI-enabled tools.
You'll develop and maintain stewardship records, engage with companies, and explore new data sources to improve investment outcomes. This position combines data science with sustainability, offering impact through rigorous analysis and cross-functional partnership.
Responsibilities Lead engagement with publicly listed companies across global markets on ESG topics and track progress Research ESG risks, opportunities, and controversies and convert insights into clear investment outputs Capture and structure qualitative observations from meetings into proprietary datasets Source, clean, and analyse large structured and unstructured data using Python, SQL, and AI tools Maintain stewardship records, case studies, and internal/external reporting Collaborate with investment teams to identify ESG themes that strengthen research Contribute to scalable research processes and AI-enabled tools for stewardship and decision-making Identify new ESG data sources and innovative analytic techniques to improve outcomes Key requirements 1-3 years of relevant buy-side or sell-side experience in sustainable investing Undergraduate degree in a quantitative discipline Strong Python and SQL programming skills with experience handling large datasets Experience using modern generative AI tools and large language models for research workflows Excellent analytical and critical thinking, with clear communication of insights Strong written and verbal communication; comfortable presenting to technical and non-technical audiences Excellent organizational skills and ability to work across international teams analytical thinking clear communication collaboration Python SQL generative AI tools / large language models