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Enterprise Risk Management Specialist

About Nu

Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services. Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.

Visit our Institutional Page About the Team The Enterprise Risk Management squad sets the global standards for how Nubank identifies, assesses and manages risk across the enterprise – spanning operational, compliance, technology, conduct and other non‑financial risks, and strongly interfacing with financial risk areas (credit, market, liquidity, capital, treasury). As part of the ERM Methodology Team , you will sit at the intersection of risk, product and platform: shaping global frameworks, embedding them into data and systems, and scaling them with AI‑enabled workflows so that ERM becomes both a competitive advantage and an enabler of safe growth across products, portfolios and geographies. You will be a reference for methodology decisions, influencing senior stakeholders across multiple lines of defense and risk types.

What you'll do

  • Own theend‑to‑end design and evolutionof ERM methodologies, ensuring coherence across programs and geographies.
  • Ensure ERM methodologiesconnect across risk types(e.g., operational, compliance, technology, conduct, model, financial/credit where relevant) and support a consistent view of the risk profile.
  • Translate methodological requirements intoGRC platform, product and data specifications, partnering with Platform and engineering teams to build scalable, intuitive workflows.
  • Lead theglobal standardizationof global ERM methodologies while enabling smart local adaptations to meet regulatory expectations in each geo.
  • Design and drive theintegration of ERM programs in new geos, ensuring that new launches start already aligned with group‑level risk standards and governance.
  • Define and embedAI/agent use‑casesinto ERM workflows (e.g., risk/control suggestions, narrative pre‑population, quality checks), with clear human‑in‑the‑loop governance.
  • Use AI and analytics tomonitor quality and consistencyof methodologies, surfacing insights and opportunities for continuous improvement.
  • Partner with risk leaders (financial and non-financial risks), CRO teams, risk stewards and 1LOD to ensurestrong adoptionand practical usability of ERM frameworks in day‑to‑day decision making.
  • Represent ERM methodologies ingovernance and decision forums.
  • Create and refinekey risk and performance indicatorsfor ERM programs, enabling better visibility on program effectiveness, maturity and trends.
  • Communicate clearly and regularly about ERM methodology initiatives and projects with a wide variety of stakeholders (risk teams in different countries, financial risk functions, internal audit, leadership, product and platform).

What we're looking for:

  • Solid experience inEnterprise Risk / Operational Risk / Non‑Financial Risk, with hands‑on ownership of at least one major program or framework (RCSA, control testing, Issue Management, NP&F or equivalent enterprise‑level framework).
  • Proven track record as asenior individual contributorleading complex risk initiatives end‑to‑end, from design to rollout, with limited oversight.
  • Experience working inmulti‑geo or global environments, balancing global standards with local regulatory expectations.
  • Strong ability to translaterisk methodologies into systems and data(platform requirements, data models, workflow design) in partnership with engineering and product.
  • Demonstratedstakeholder management and influence without formal authority, especially across product, risk, compliance and platform/engineering teams.
  • Comfort working withdata and analytics(e.g., querying datasets, interpreting dashboards, defining metrics) to guide decisions on methodology and program performance.
  • Experience defining and trackingmetrics, SLAs and KPIsfor risk/controls or governance processes.
  • Strong written and verbal communication inEnglish, including the ability to explain complex risk concepts to non‑experts.

Nice to Have

  • Prior experience inERM, operational risk, internal controlsin financial services or fintech.
  • Previous work indesigning frameworks, methodologies and governancefor risk (financial and/or non‑financial), influencing multiple lines of defense and senior stakeholders across geos.
  • Exposure toAI/ML or advanced analyticsapplied to risk, controls, data quality or governance (e.g., LLMs, anomaly detection, smart suggestions).
  • Experience working closely withplatform / GRC / risk systems(e.g., JIRA‑based workflows, custom risk platforms, governance tooling).
  • Familiarity withregulatory expectationsfor risks and governance in Brazil and/or other key markets, including reading requirements and translating them into practical frameworks.
  • Background inhigh‑growth tech/fintech environments, navigating the tension between speed, innovation and robust risk management.

Location São Paulo, Brazil Work model Hybrid Office requirement 2-3 days per week at the office 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.

To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here