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Nubank is seeking a senior individual contributor for Model Risk who will review quantitative and ML models, focusing on credit provisions and capital requirements. You will develop playbooks, challenge modelling approaches, and coordinate with teams to strengthen decision-making tools.
The role requires deep ML knowledge and regulatory awareness. You will mentor juniors and work in a diverse, high-skill environment, contributing to robust risk controls and governance across international
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 team: At Nubank we heavily rely on data, machine learning, and AI to drive our strategy and provide the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring Nubank relies on world‑class models that meet business and customer needs, and have associated risks under control. We act by providing effective review & challenge and identifying opportunities to improve our models. We also act by implementing governance and validation standards to control the risk of our models, as well as by establishing feedback loops to constantly improve them.
The position: This is a senior individual contributor role that will require experience in machine learning and analytics, along with knowledge of Expected Credit Loss and its parameters (PD, EAD, LGD).
You will be responsible for
We are looking for a person who has
Benefits:
Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
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