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Patricia Pina — Chief Research Officer · Clarity AI · Madrid, Community of Madrid, Spain.
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About
Patricia specializes in measuring sustainability and impact to help companies, governments, and individuals to make more environmentally and socially sustainable decisions.
She has extensive experience in supporting financial stakeholders implement sustainable finance strategies. She also has worked crafting strategic plans and evaluating major development initiatives for public and private organizations. She has worked across sectors, including financial services, agriculture, global health, ICT for development, education, and youth employment.
Experience
Head of Product Research & InnovationCurrent
Clarity AI · Madrid
Sep 2018 – Present
Clarity AI is a tech company that leverages AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets. At Clarity AI, Patricia defined and executed its approach to measuring sustainability and ESG factors, assessing sustainability risks and evaluating corporates’ impacts on the environment and the society. She created, managed and grew the Product Research & Innovation team to 30+ members and supervised a portfolio of projects. Selected examples include, - EU Taxonomy Module to report investment portfolios alignment with the EU taxonomy of green activities, integrating data reported by companies and state-of-the art estimation models. - TCFD Reporting capabilities to quantify climate-related physical and transition risks for investment portfolios, including metrics such as temperature alignment, total financed emissions, or total impact on returns of a set of pre-defined climate scenarios. - Net Zero Alignment assessment to evaluate companies’ progress towards net zero based on the Net Zero Investment Framework (e.g., carbon reduction targets, SBTI approval, GHG related disclosures, capex, historical performance). - EU Sustainable Finance Disclosure Regulation (SFDR) Module to calculate the Principal Adverse Impact (PAI) indicators at the entity and product level. - Sustainable Investment calculation based on the SFDR regulation to quantify the proportion of sustainable investments included in a financial product to support Article 9 and Article 8 product classifications. - SDG Module to quantify the alignment of companies’ products and services with the Sustainable Development Goals (SDGs), accounting for the geographies where these products are sold.
East Africa Regional Director
IDinsight · Kenya
Sep 2015 – Aug 2018
IDinsight is a global advisory, data analytics, and research organization that helps development leaders maximize their social impact. We tailor a wide range of data and evidence tools, including randomized evaluations and machine learning, to help decision-makers design effective programs and rigorously test what works to support communities. At IDinsight Patricia setup and launched operations of the IDinsight office in Nairobi, managing a team of 20+ staff members. Developed and overseen an expanded portfolio of projects in East Africa. Selected examples include, - Randomized controlled trials of an integrated sanitation and nutrition intervention in Kenya, and of a school-based distribution approach for improved varieties of sweet potato in Tanzania. - Non-experimental impact evaluations of mobile-based agrotips and price advisories for farmers in Western Kenya, and of an improved chicken breed in Ethiopia. - Developmental mixed method evaluation of an intervention to improve education quality in community-based schools in Uganda and Ghana. - Qualitative research on an after-school secondary education program to flesh out impact channels. - Nationally representative survey in public health facilities in Tanzania to monitor changes in availability, stocking and dispensing of amoxicillin dispensable tablets.
Education
Skills
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