Pauline Riche

ESG Project lead - Environmental Transformation & Governance LCL – Defined a methodological framework to assess the ESG impact of business activities, including definition of analytical criteria and monitoring indicators. – Developed ESG criteria embedded into decision-making and allocation processes, with operational deployment across business teams. – Structured cross-functional governance involving finance, risk, and operational departments. – Mapped environmental data flows and established data validation processes. – Consolidated ESG reporting processes. Internal Strategic Initiatives – Contributed to the development of Sustainable Finance offerings (climate, sustainable transformation, responsible investments, regulatory frameworks) – Managed the Biodiversity & ESG Data offering: development of ESG methodologies, stakeholder engagement, ESG workshops, and institutional partnership development – Developed sector benchmarking analyses (ESG indices, GHG accounting methodologies, CSRD and LEC29 reporting frameworks) – Coordinated internal ESG communities.

Group Decarbonization Strategy - Crédit Mutuel Alliance Fédérale – Contributed to the definition of the Group's decarbonization strategy – Mapped and harmonized ESG data flows aligned with regulatory and sector requirements – Developed carbon footprint calculation methodologies – Defined ESG data strategy and associated roadmap – Identified ESG data needs and assessed external data providers (e.g. MSCI, FactSet) ESG Data Program Lead - BNP Paribas Securities Services – Led the deployment of an ESG data platform – Evaluated and selected ESG data providers – Defined the ESG program roadmap, delivery timeline, and dependencies – Structured business requirements and ESG indicators Internal Strategic Initiatives – Benchmarked decarbonization and ESG management solutions – Promoted sustainable IT practices – Coordinated cross-functional deliverables and monitored performance indicators

– Responsible for the creation of an automatic data management, preparation and coding process to facilitate food consumption studies. (Python and R) – Evaluation of a process automating the coding of FoodEx2. – Work in relation with researchers of the project StanFood.

– Understanding and study of data warehouse platforms in the cloud. (Snowflake and Data Virtuality) – Creation of dashboards with Power BI and Sap Analytics cloud platforms. – Study of Neo4j, a graph-based database management system.