Model Risk Senior Specialist

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 Nus 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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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.

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 Nubanks 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.

• 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 Nubanks 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.

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.

• Proven track record independently leading model validations end-to-end exercising sound judgment with minimal oversight.

• Strong data science and machine-learning fundamentals including model performance monitoring and lifecycle management.

• Strong programming and data skills particularly in Python and SQL.

• Analytical autonomous organized and detail-oriented with the ability to learn quickly and solve complex problems.

• Excellent communication and interpersonal skills with the ability to explain complex topics and provide constructive challenge to technical and non-technical stakeholders.

• Practitioner mindset: hands-on experience using AI tools or agentic workflows to accelerate your own work (e.g. coding documentation research) this role calls for someone who actively applies AI to modernize how MRM works not only someone who evaluates AI risk in other teams models.

• Working knowledge of US model risk regulatory expectations (e.g. Federal Reserve SR 11-7 SR 26-2) or comparable model risk frameworks.

Nice to Have

• Experience developing models (first line) in addition to validating them gives a practitioners view of the modelers perspective.

• Familiarity with US fair-lending practices (e.g. ECOA Regulation B) and their application to credit and fraud model validation.

• Experience translating regulatory expectations into practical validation standards governance processes controls or documentation.

• Experience evaluating AI/ML generative-AI or agentic-AI systems including fairness disparate impact explainability drift or post-deployment monitoring.

• Experience with Scala Databricks GitHub AI-agent tools or similar technologies.

• Masters degree PhD or relevant academic research in a quantitative discipline.

• Experience working across countries regulatory regimes or globally distributed risk teams.

• Experience supporting or participating in regulatory examinations (e.g. Federal Reserve OCC CFPB) related to model risk.

• Familiarity with model tiering model inventory management and model risk rating frameworks.

• Professional certifications such as FRM CFA or PRM.

Office requirement

2 days per week at the office.

• Opportunity of earning equity at Nu

• Medical Insurance

• Dental and Vision Insurance

• Life Insurance and AD&D

• Extended maternity and paternity leaves

• Nucleo - Our learning platform of courses

• NuLanguage - Our language learning program

• NuCare - Our mental health and wellness assistance program

• 401K

• Saving Plans - Health Saving Account and Flexible Spending Account

• Work-from-home Allowance

• Relocation Assistance Package if applicable.

Our recruitment process may involve the use of artificial intelligenceenabled 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

Required Experience:

Senior IC