人工智能风险管理高级专员
AI Risk Management Senior Specialist
Nu 是拉丁美洲领先的数字银行，为巴西、墨西哥和哥伦比亚的 1.4 亿客户提供服务。公司通过利用数据和专有技术，开发创新产品和服务，引领行业变革。
以对抗复杂性并赋能人们为使命，Nu 为客户提供完整的金融旅程，通过负责任的贷款和透明度促进金融准入和进步。公司由高效且可扩展的商业模式驱动，结合低成本服务与持续增长的回报。
Nu 的影响力已获得多项奖项的认可，包括《时代》100 家最具影响力公司、《快公司》最具创新力公司以及《福布斯》全球最佳银行。
访问我们的机构页面 https://www.nu.com/2026-en
关于该职位
该职位位于 Nubank 全球风险管理团队，负责对公司内人工智能和生成式 AI 相关风险提供二线监督。你将从项目最早阶段就与 AI 核心、工程、数据、信息安全及其他一线团队合作，同时保持独立的风险治理挑战和问责。
初期重点是建立公司在人工智能方面的可扩展风险监督，包括对前沿技术进行风险评估，提供风险分类、风险偏好、关键风险指标（KRIs）、风险与控制矩阵、控制测试、事件监督和问题管理。
你将负责：
- 通过与一线团队在人工智能项目构思和设计阶段的合作，实现风险前置管理，帮助团队识别风险并制定适当的应对策略。
- 推荐并维护人工智能风险偏好声明、指标、关键风险指标（KRIs）和早期预警指标，包括阈值和升级逻辑。
- 监督由人工智能和生成式 AI 第三方供应商引入的风险，推荐治理要求和基准控制措施，确保其安全使用。
- 强制执行一致的风险识别，推荐基准控制措施，并独立测试关键控制措施。
- 负责人工智能相关范围的控制测试，优先处理最高风险和最重要的控制措施。
- 监督人工智能相关事件，将其与风险治理联系起来，并将经验教训反馈到分类、控制、偏好和监控方法中。
- 审查并质疑一线团队的风险评估、控制措施和决策。
- 建立牢固的工作关系
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ABOUT NU
Nu is the leading digital bank in Latin America, serving 140 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 ROLE
This position sits within Nubank’s global risk management team and provides second-line oversight of risks arising from artificial intelligence and generative AI across the company. You will partner with AI Core, Engineering, Data, Information Security and other first-line teams from the earliest stages of initiatives, while maintaining independent challenge and accountability for risk governance.
The initial focus is to establish scalable AI risk oversight across the company, including risk assessments on cutting edge technologies, providing risk taxonomy, appetite, KRIs, risk and control matrices, control testing, incident oversight, and issue management.
You’ll be Responsible for
- Shift-left risk management by partnering with the first line at the conception and design of AI initiatives, helping teams identify risks and shape proportionate response strategies.
- Recommend and maintain the AI risk appetite statement, metrics, KRIs, and early-warning indicators, including thresholds and escalation logic.
- Oversee risks introduced by AI and GenAI third-party providers, recommending governance requirements and baseline controls for their safe use.
- Enforce consistent risk identification, recommend baseline controls, and independently test key controls.
- Own control testing for AI-related scopes, prioritising the highest risks and most important controls.
- Oversee AI-related incidents, connect them to risk governance, and feed lessons learned back into the taxonomy, controls, appetite, and monitoring approach.
- Review and challenge first-line risk assessments, controls, and decisions.
- Build strong working relationships with Model Risk, Information Security, Data Privacy, Technology Risk, Operational Risk, and other relevant risk teams to clarify roles, coordinate oversight, and avoid gaps or duplication.
WHAT WE'RE LOOKING FOR SOMEONE WHO HAS
- Senior experience in technology, ideally in a second-line risk function or a risk-heavy technical role.
- Fluency with GenAI and large language models, including the AI lifecycle and the non-model risks associated with data, access, resilience, third parties, agentic tool use, and guardrails.
- Strong grounding in core risk practices, including risk assessments, control testing, and risk monitoring.
- Familiarity with relevant governance, risk, and security frameworks, such as NIST AI RMF, the EU AI Act, NIST CSF, ISO/IEC 27001, and ISO 31000, with the judgment to apply them pragmatically.
- A mindset of constructively challenging, and being able to partner with other teams to elaborate resilient and secure solutions.
- Excellent communication and stakeholder management skills, with confidence engaging senior leaders and presenting a clear risk picture in governance forums.
- Strong analytical, problem-solving, and decision-making skills, including the ability to address complex and ambiguous situations.
- A pragmatic, builder’s mentality: comfortable standing up new frameworks and processes, operating with ambiguity, and balancing strong controls with simplicity and speed.
- Strong team-working skills and the ability to build trust across functions, geographies, and lines of defense.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Risk Management, Business, or a related field.
- Significant experience in technology areas, risk management, AI implementation and governance or a related discipline.
- Demonstrated experience translating technical or emerging risks into practical governance, policies, controls, metrics, and testing approaches.
- Experience working with senior stakeholders and cross-functional teams in a fast-moving, technology-led organisation.
- Experience operating across multiple countries or regulatory environments is a plus.
- Professional fluency in English is expected.
Location
São Paulo, SP - Brazil
Work model
Hybrid
Office requirement
2-3 days per week at the office.
OUR 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
- Relocation Assistance Package, if applicable
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.