Rochelle March
Head of ESG Product at Dun & Bradstreet
Rochelle leads product strategy, development and delivery as Head of ESG Product at Dun & Bradstreet. She specializes in impact analysis related to carbon, water and the Sustainable Development Goals and in applying machine learning to ESG products. She also teaches data and analytics in Bard College’s MBA program, sits on the advisory board for USL Technology, Inc., a minority and women-owned sustainable building and engineering company, and is a mentor for fellows in the Environmental Defense Fund’s Climate Corps program and for STEM talent participating in the New York Academy of Science’s Junior Academy. Previously, Rochelle directed ESG innovation and analytics at S&P Global and worked as a sustainability consultant for SustainAbility (now part of ERM Group), Dunkin’ Donuts and the NRDC. Rochelle has had work cited by The Economist, The Guardian, IR Magazine and GreenBiz, and is a regular speaker on sustainability and data science topics. Before entering the sustainability field, Rochelle worked on cancer research at Weill Cornell Medical College and founded a graphic design company.
WATCH LIVE: july 12 @ 3:45PM – 4:15PM ET
Global changes have impacted countries and companies everywhere. From climate change, the Covid-19 pandemic, resource constraints and demographic fluctuations challenge the stability of even the longest-established enterprises. Traditional financial data is not enough today to provide a clear enough picture on sourcing, investment and insurance decisions. ESG data and metrics can serve as valued information and tools for competitive advantage. For Dun & Bradstreet, this means extending its efforts around business transparency to generate ESG intel that can help customers, investors and other stakeholders identify which companies are actively moving towards a different, and hopefully, more sustainable future. This presentation will showcase analysis that explores the relationship between ESG and financial performance, and will provide a deep dive into the NLP machine learning and analytical techniques used to create Dun & Bradstreet’s new ESG Rankings dataset and model.