About the Company
Our client is a leading provider of ESG and sustainability data solutions, partnering with top-tier Asset Managers, Wealth Managers, Investment Banks, and Asset Owners. With rapid growth over the past 24 months and ambitious targets ahead, the company offers a comprehensive service platform including ESG ratings, SDG impact analysis, regulatory data solutions, and sustainable investment strategies. The company is part of a major global WealthTech group and is regulated by the FCA.
Position Overview
They are seeking a highly motivated ESG Data Analyst to join their growing team. The successful candidate will play a key role in designing and enhancing their proprietary ESG models and leading quantitative research initiatives. This role is ideal for someone with a strong interest in sustainability and a background in finance, statistics, or engineering.
Key Responsibilities
· Design and enhance advanced ESG models assessing corporates, countries, and municipalities.
· Lead quantitative research to develop new ESG insights and inform product innovation.
· Support ESG data sourcing, cleaning, mapping, and visualisation.
· Maintain quality assurance for ESG model inputs and outputs.
· Document existing and new in-house processes for transparency and consistency.
· Identify ESG trends to support model updates and KPI development.
· Contribute to research publications and insights.
· Collaborate on cross-functional projects within the ESG team.
Required Skills & Qualifications
· Minimum 1 year of experience in ESG or sustainability-related roles.
· Strong knowledge of ESG investing and issuer-level/portfolio-level ESG data.
· Proficiency in building complex data models, preferably using Python.
· Advanced analytical and statistical capabilities.
· Highly organised with strong attention to detail.
· Strong communication, presentation, and interpersonal skills.
· Ability to work effectively in a fast-paced and collaborative environment.
· Preferred Skills
· Master’s degree in Sustainability, Finance, Management, or Engineering.
· Familiarity with ESG rating frameworks for corporates and sovereign issuers.
· Knowledge of ESG data vendors and ESG regulations (e.g., SFDR).
· Advanced skills in Microsoft Excel and Python.