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Sustainability & Reputational Risk Specialist

Nubank · São Paulo

RemoteEnterprise FunctionsEnterprise FunctionsPosted Last week

About this role

ABOUT NU Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our Institutional Page https://www.nu.com/2026-en About the role The NFR Global team is responsible for structuring and governing Nu's non-financial risk management framework across the geographies where we operate. Within this scope, the Sustainability Risk (social, environmental, and climate risk) and Reputational Risk verticals are critical for anticipating events that could compromise the business's social and operational license. This position was created to strengthen the team's analytical and data capabilities - a profile that builds models, cross-references complex datasets, and transforms data into methodologies and governance inputs. Domain knowledge in Sustainability Risk and Reputational Risk will be developed on the job, with support from leadership and the senior team. We are looking for a profile with a strong foundation in analytics and structured thinking, capable of navigating new domains autonomously. You don't need to arrive knowing everything about SAC or Reputational risk - you need to arrive knowing how to learn quickly, structure complex problems, and build solutions from data. RESPONSIBILITIES - Build and maintain analytical models for the identification, classification, and monitoring

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