About Us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/

About the role

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.

We are expanding the team's role to cover more deeply AI topics, addressing new challenges modern AI brings to Model Risk Management, and ultimately allowing Nubank to innovate with safety and soundness in AI adoption. 

You'll be responsible for

• Support Nubank's AI-first vision by proposing and implementing standards to assess the quality, performance, and explainability of models based on various modern AI architectures, such as embeddings, during both model development and post-production.
• Specialize machine learning models governance to models based on Modern AI or AI System, staying tuned to industry best practices and internal/external benchmarks and regulations. Contribute to strengthening our Responsible AI framework.
• Influence and collaborate with platform teams (such as AI Platform, NuLLM, Data Labeling Platform, and AI Core) to build capabilities that deliver the proposed frameworks.
• Conduct independent reviews of AI models, with a stronger focus on causal models and modern AI technologies, such as Generative AI, LLMs, and contemporary deep learning architectures like transformers.
• Provide effective challenge, identify risks and opportunities, and engage with other Data Scientists and Business Analysts to strengthen our decision making tools and capabilities.
• Oversee AI model development and AI usage at Nubank and act as an advisor offering guidance on model assessments, risks, and best practices. Foster a collaborative environment where insights are shared, and knowledge is continuously expanded. Work with Infosec, IT Risk, Legal, and other areas to build the best usage of AI models for Nubank. 
• Develop playbooks and toolkits (Python, Scala, etc.) to optimize models reviews, on-going monitoring, and assess the impact of models in decisions. 
• Discuss and report model risk metrics and independent opinions with different stakeholders, including senior managers and regulators.
• Be exposed to different types of decisions and processes (e.g. credit, fraud, operations, and in different countries).
• Stay tuned to cutting-edge advancements in AI, Machine Learning, and AI Risk Management to propose innovative standards for model assessments. Ensure the team maintains a high level of technical excellence.
• Work in a multicultural, diverse, and highly skilled environment. 

We are looking for a person who has

• Deep technical expertise in AI/machine learning techniques and technologies (preferably Neural Nets, Deep Learning, Embeddings, LLM, GenAI).
• Experience developing or validating machine learning and/or AI models used to leverage important decision-making processes or to solve relevant academic problems.
• Interest in understanding and influencing complex AI models and portfolio analytics strategies and identifying risks and opportunities.
• Interest in AI Governance topics, and on strategies to implement AI responsibly.
• Proficiency in programming languages commonly used in model development and validation (e.g., Python, R, SQL).
• Good communication and interpersonal skills, with the ability to influence and effectively discuss complex topics with both technical and non-technical stakeholders.
• Organized and detail-oriented, without losing track of the big picture.
• Proactive, autonomous, with strong analytical and problem-solving skills, motivated by challenges.
• English language proficiency.
• Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field is a plus.
• Experience with model risk management regulations (e.g., FED-SR 11-7, PRA SS1/23) and emerging AI regulations (e.g., EU AI Act, BR PL 2338) is a plus. However, more crucial is the candidate's ability and eagerness to develop and implement sound model development practices for AI. We are looking for individuals who can quickly learn and adapt to regulatory requirements while prioritizing practical application.

Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation

Our Nu Way of Working 

Our work model is hybrid and has cycles that can be from two to three months according to the business of ​​expertise. For every eight or twelve weeks of remote work, one will be at the office.