Nubank

Requirements

• Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models
• Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems
• Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk
• Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle
• Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Remote Work

Skills

Requirements

• Build and continuously enhance the risk management framework for AI and Agentic AI systems
• Inventory and map Nubank's AI use cases to surface gaps, materiality, and the most critical risks
• Assess whether first-line monitoring is effective, proportionate to model risk, and sufficient to keep AI systems fit for purpose over time
• Perform independent technical assessments across generative AI, and agentic workflows, covering data, assumptions, methodology, testing, behavior, and monitoring
• Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, and model drift
• Design the guardrails and platform-level controls that govern the safe use of AI systems
• Act as a credible technical peer to first-line engineering and AI development teams, providing practical guidance on AI risk without slowing responsible innovation

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• Experience developing or validating market risk, liquidity risk or stress testing models
• Technical knowledge of risk metrics (DV01, VaR, Delta EVE, Delta NII, LCR)
• Conduct independent reviews of IRRBB, market & liquidity risk and stress testing models
• Provide effective challenges to models and modelling processes
• Develop playbooks and toolkits to optimize models reviews, ongoing monitoring, and assess the impact of models in decisions

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills