Nubank
Financial Services
ModelRiskSpecialist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Model Risk Specialist at Nubank. Skills: Model Risk, AI Risk Management, Data Governance, MLOps. Review and assess models. Develop tools”
Industry & Context.
What They're Looking For.
Must Have
5+ years experience, SQL proficiency, English communication skills
Nice to Have
Infrastructure experience with Spark/Scala, Experience in 2nd or 3rd line of defense, Prior experience in model risk management, Prior experience in model validation, Data/ML engineering role transitioning into risk, Familiarity with model risk frameworks, Familiarity with regulatory expectations
What You'll Do.
Review and assess models
Focus on infrastructure risks
Assess feature engineering risks
Assess feature stores risks
Assess MLOps pipelines risks
Assess model monitoring risks
Assess deployment platforms risks
Assess data governance practices risks
How You'll Work.
Team & Collaboration
Model platform teams; Data platform teams
Communication Scope
Written communication; Verbal communication
Full Job Description
About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! About the Role At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. This is an individual contributor role, you will both review and assess what first-line teams build, and actively develop tools, playbooks, and analyses to mature our risk practices. You will focus on the infrastructure and data risks that surround model development and deployment: feature engineering and feature stores, MLOps pipelines, model monitoring, deployment platforms, and data governance practices. You will work closely with model and data platform teams to identify, assess, and report risks independently, bringing a second-line perspective without losing t
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