Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Reporting to the Global Head of Sustainable Investment Research, the Climate Research Analyst will work within the Sustainable Finance & Investment (SFI) Research Team in the Data & Analytics division of London Stock Exchange Group (LSEG). This role offers a unique opportunity to develop and improve country-level and corporate climate-related scoring models and assessment tools. You will co-author high-profile thematic publications on climate and sustainability, engaging with LSEG's global client base, investor initiatives, academics, project partners, and other collaborators in the sustainable investment space. You will gain a detailed grounding in analysis that integrates sustainability and financial data, contributing to impactful research that supports sustainable investment decisions.

LSEG is a leading global financial markets infrastructure and data provider with a 300-year history of supporting financial stability and economic growth worldwide. The organisation values integrity, partnership, excellence, and change, fostering an inclusive culture where employees can grow and fulfil their potential. As part of LSEG, you will join a dynamic team of 25,000 people across 65 countries, committed to innovation, quality, and continuous improvement.

Experience
Ideally 2+ years of experience in quantitative and qualitative climate research. Experience within an investment context is preferred but not required. Proven ability to produce impactful publications and strong analytical writing and presentation skills is an asset. Experience in developing climate-related analytics products and frameworks is a plus.

About you
A passion for sustainability and climate analysis, with strong curiosity for research in an investment context. Excellent interpersonal skills to effectively engage with diverse collaborators including internal teams and external clients, standard setters, and regulators. Comfortable working in a fast-paced environment with competing demands and able to work collaboratively as a strong team player.

Qualifications
Strong analytical skills are essential. Proficiency in Python or similar analytical tools is highly desirable. Experience with large language models (LLMs) is an asset. A commitment to continuous learning and adaptability to change is important for success in this role.