Model Risk Senior 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 Global Model Risk Management

Nubank relies extensively on data, machine learning, and quantitative models to support strategy, product decisions, risk management, and customer experiences. The Global Model Risk Management team is part of the second line of defense and provides independent review, effective challenge, and oversight across the model lifecycle.

Our work is not limited to identifying model weaknesses. We help the organization understand and manage model risk, improve decision quality, establish practical feedback loops, and evolve our governance as new techniques and applications emerge.

About the role

We are looking for a Senior Model Risk Management & Validation Specialist to join our Global MRM team as a senior US-based model risk representative.

In this role, you will independently assess and challenge models used across credit, fraud, operations, and other customer-impacting decisions. You will work with model developers, data scientists, product leaders, senior management, compliance, audit, and regulators to evaluate whether models are conceptually sound, appropriately implemented, fit for purpose, and effectively monitored.

Although based in the US, this is a global role. You will bring knowledge of US regulatory expectations, industry practices, and model risk developments to help continuously evolve Nubank’s global MRM methodology, standards, governance, playbooks, and tools. You will also collaborate with colleagues across countries to promote consistent, scalable approaches that remain appropriate for local regulatory and business contexts.

This is an opportunity to combine hands-on validation, US market expertise, and cross-border collaboration on global methodology in a fast-growing digital financial platform.

You’ll be Responsible for

Lead or contribute to independent validation reviews of traditional statistical, quantitative, machine-learning, generative-AI, and other emerging models.

Lead independent validation and effective challenge across the model lifecycle — soundness, methodology, data, implementation, and performance — using benchmarking, back-testing, and sensitivity testing to surface risks and remediation actions.

Evaluate AI/ML-specific risks such as bias, fairness, explainability, and drift, and translate findings into practical, business-relevant recommendations.

Translate validation results into clear model-risk, business, and customer implications; define relevant performance and risk indicators; and prepare reports and presentations for technical and non-technical audiences.

Engage with senior management, internal audit, compliance, regulators, and other stakeholders to communicate independent opinions, findings, limitations, and recommendations.

Follow models into production to understand how they are implemented and used in real business processes, strengthening validation, monitoring, and feedback-loop practices.

Support the US CRO and senior leadership in representing Global MRM to US regulators, and bring US regulatory expectations, fair-lending practices, and market knowledge into ongoing enhancements to Nubank’s global methodology, standards, and governance.

Contribute to scalable global validation frameworks, playbooks, monitoring practices, and guidance for traditional, AI, generative-AI, and agentic systems while accounting for local regulatory and business requirements.

Act as a hands-on AI practitioner within MRM: use AI coding assistants, agentic workflows, and automation (Python, SQL, Scala, Databricks) to revamp and expedite validation, documentation, and monitoring processes, and share these practices across the Global MRM team.

What We're Looking For Someone Who Has

Required

Experience in model validation or model risk management (second line of defense) covering quantitative, statistical, machine-learning, or AI models, ideally in credit, fraud, or other high-impact decisioning processes.