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.

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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 the end‑to‑end design and evolution of ERM methodologies, ensuring coherence across programs and geographies.

• Ensure ERM methodologies connect 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 into GRC platform, product and data specifications, partnering with Platform and engineering teams to build scalable, intuitive workflows.

• Lead the global standardization of global ERM methodologies while enabling smart local adaptations to meet regulatory expectations in each geo.

• Design and drive the integration of ERM programs in new geos, ensuring that new launches start already aligned with group‑level risk standards and governance.

• Define and embed AI/agent use‑cases into ERM workflows (e.g., risk/control suggestions, narrative pre‑population, quality checks), with clear human‑in‑the‑loop governance.

• Use AI and analytics to monitor quality and consistency of methodologies, surfacing insights and opportunities for continuous improvement.

• Partner with risk leaders (financial and non-financial risks), CRO teams, risk stewards and 1LOD to ensure strong adoption and practical usability of ERM frameworks in day‑to‑day decision making.

• Represent ERM methodologies in governance and decision forums.

• Create and refine key risk and performance indicators for 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:

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