ESG Data Scientist

ESG solutions enable investors to develop and integrate responsible investing policies and practices, engage on responsible investment issues, and monitor portfolio company practices through screening solutions. It also provides climate data, analytics, and advisory services to help financial market participants understand, measure, and act on climate-related risks across all asset classes. In addition, ESG solutions cover corporate and country ESG research and ratings enabling its clients to identify material social and environmental risks and opportunities. Overview Data Strategy is ISS’ ESG data hub, which collects, catalogues and consolidates environmental and social data on companies across major global indices. We are currently seeking an ESG data scientist with a solid understanding of corporate disclosures, who would collaborate with ISS’ data engineers to build, maintain, test and continuously improve our corporate data scraping tools in order to improve efficiencies in capturing quality ESG data. This data will in turn assist investors select companies in line with their policies for responsible investment, inform their proxy voting decisions, and support ESG ratings products. Responsibilities Catalogue and index corporate disclosures (Annual Reports, Sustainability Reports, corporate websites) to: Facilitate identification of ESG data Match disclosure content to specific ESG themes (workplace injury rates, GHG emissions, etc.) Establish rules to identify year-on-year changes in salient ESG data in succeeding corporate disclosures. Support data engineers in establishing smart crawlers aimed at capturing new corporate disclosures in real time. Troubleshoot data scraping tools and test efficacy and quality of data captured. Collaborate with the ESG Data Governance lead in operationalising the expansion of ESG datasets. Skills Proven ESG research experience (2-4 years) using corporate data and strong analysis skills are highly desirable. Background in metadata analysis and table extraction. Strong academic qualifications in the field of ESG/sustainability/statistics/responsible investment. Experience with Data Mining and Data Analysis technologies and language, including Python, pandas, Jupyter Notebook, Matplotlib. Excellent command of English; additional languages are an asset. Attention to detail, and methodical and thorough approach to work. Clear written communication. Ability to work towards deadlines, manage tasks and prioritise. A desire to show initiative. #ESG #LI-OR1 Please apply online by sending a cover letter along with a CV in English.