AI Risk Management Lead

About Nubank

Nubank is one of the largest digital financial services platforms in the world, empowering millions of customers across Latin America to take control of their financial lives. We're driven by an "AI-First" vision, leveraging cutting-edge technology to redefine financial services and deliver exceptional experiences. Our commitment to responsible AI is at the core of this vision, ensuring that innovation is balanced with robust risk management.

About the Role

We're looking for a highly motivated and experienced Risk Management Lead to join our global Model Risk Management team and assume a new AI Risk Management role. This pivotal role will be key to accelerating Nubank's AI-First strategy by ensuring the effective implementation of an AI Risk Management framework and our Global AI Policy. You will play a crucial part in evolving our multidisciplinary AI Governance Working Group (AIGWG) and fostering integrated risk management across Model Risk, Data Privacy, Third-Party Risk Management, and Information Security & IT Risk. In this context, AI refers to a broad range of applications, including LLMs, Generative AI, AI Agents, Foundation Models, and other advanced machine learning systems, developed internally or externally.

This is an opportunity to lead accountability for AI Governance, being at the forefront of innovation, and expanding the reach of AI Risk Management within an "AI-First" organization that is deeply committed to embedding responsible AI practices.

As an AI Risk Management Lead, you will:

• Drive AI Risk Strategy & Governance: In close partnership with the AI Governance Working Group, drive the implementation and evolution of Nubank's Global AI Policy, ensuring an interdisciplinary approach to AI risks and integrating existing risk governances.
• Enhance Cross-Coordination: Act as a central point for AI risk management, fostering seamless collaboration and communication between risk and business teams across Model, Data, Privacy, Information Security and IT Risks, as well as Platform, Engineering and Model Development teams.
• Integrate AI Risk into ERM: Ensure AI risks are appropriately managed within Nubank's Enterprise Risk Management framework, including defining Nubank's classification of AI systems following a risk-based approach. Collaborate with leadership to define the organization's AI risk appetite and monitor adherence to established thresholds.
• Identify & Mitigate AI Risks: Partner with various teams, leveraging existing risk assessment flows, to proactively identify, assess, and manage existing and emerging risks from AI across Third-Party Tools, Decision Making and Customer Facing Models, and Internal AI Productivity Agents.
• Strengthen Controls & Processes: Diagnose processes gaps and propose specific improvements for AI adoption, focusing on areas such as experimentation flows, and AI Systems lifecycle governance.
• Advance Quality & Responsible AI: Partner with Model Risk and Data Science teams to establish quality standards for AI models, such as foundation models and customer-facing models based on LLM and GenAI, enhancing explainability efforts, and contributing to the development of a comprehensive Responsible AI Framework.
• Promote Best Practices, Regulatory Adherence & AI Literacy: Keep up to date with industry best practices, new trends and legal & regulatory requirements, proposing necessary updates to the AI Risk Management framework and best practices guidelines. Contribute to the design and implementation of AI literacy programs to foster critical understanding and responsible data handling.
• Ensure Reporting & Resilience: Track AI usage and risks, developing standardized metrics and leadership reporting to ensure comprehensive risk coverage and regulatory adherence.
• Oversee Incident Response & Contingency Planning: Ensure there are effective incident response processes in place, including clear contingency plans for AI-related incidents.

What we are looking for:

• Strong background in risk management, compliance, and governance.
• Proven ability to identify, analyze, and assess risks emerging from complex methodologies and/or technological systems. You are expected to have a deep understanding of the principles and applications of modern AI/ML technologies (e.g., Generative AI, LLMs) and be capable of articulating their specific risk implications to technical and non-technical stakeholders.
• Interest in keeping learning about AI, identify risks, and propose risk mitigation and improvements opportunities strategies to the company.
• Strong project management skills with the ability to lead cross-functional initiatives and drive outcomes in a dynamic environment.
• Excellent communication and interpersonal skills, with the ability to influence and effectively discuss complex topics with both technical and non-technical stakeholders.
• Proactive, autonomous, and detail-oriented, with the ability to see the big picture.
• English language proficiency.

Bonus points if you have:

• Familiarity with regulatory requirements related to AI in financial services (e.g., FED-SR 11-7, PRA SS1/23, EU AI Act, NIST AI RMF principles, BR PL 2338).
• Experience developing or validating machine learning and/or AI models to leverage important decision-making processes or to solve relevant academic problems.
• Experience with Data Governance, Data Privacy, Information Security, and IT Risk Management.
• Experience with AI model inventory practices and governance rituals for multi-component systems.
• Relevant professional certifications on Risk Management (e.g. FRM, RAI)
• Advanced degree in Technology, Engineering, Risk Management, Computer Science, Mathematics, Finance, or a related discipline is preferred.