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Daniel Valls

Product Manager, Machine Learning at RepRisk

Daniel Valls is an accomplished Product Manager with extensive experience in machine learning applications at RepRisk AG, where responsibilities include feature definition and product backlog prioritization. With a strong background in ESG risk analysis, Daniel evaluates the impact of environmental, social, and corporate governance practices on business risk profiles. Previous roles include Research Assistant at the Innovation Policy Lab, Intern at the Stockholm International Peace Research Institute, and Compliance Analyst for the G20 Research Group. Daniel holds a Master of Global Affairs from the University of Toronto and a Bachelor of Science in Archaeological Science from Victoria University.

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RepRisk

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The company runs an online due-diligence database that allows clients to monitor and assess the risk exposure of companies, infrastructure projects, sectors, and countries related to 28 ESG issues.


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51-200

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