AI Risk Management Expert

Há 9 horas

São Paulo, São Paulo, Brasil beBeeRisk Tempo inteiro
Job Description:

Nubank, one of the largest digital financial services platforms in the world, is looking for a highly motivated and experienced Risk Management Lead to join its global Model Risk Management team. 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.

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 organization deeply committed to embedding responsible AI practices.

The ideal candidate will have a strong background in risk management, compliance, and governance, with proven ability to identify, analyze, and assess risks emerging from complex methodologies and/or technological systems.

The Risk Management Lead 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.

Key Responsibilities:
  • Drive AI Risk Strategy & Governance: Implement and evolve Nubank's Global AI Policy, ensuring an interdisciplinary approach to AI risks and integrating existing risk governances.
  • Enhance Cross-Coordination: Foster 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.
  • Identify & Mitigate AI Risks: Partner with various teams 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.

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