Senior Model Risk & AI Validation Specialist

Socket.dev; Virginia (IL); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Medical Insurance

Dental & Vision Insurance

Life Insurance

Parental leave

Learning platform (Nucleo)

Language learning (NuLanguage)

Mental health & wellness program (NuC)

401K

Work-from-home allowance

Relocation assistance

Job summary

Nubank, a leading digital bank, seeks a Senior Model Risk Management & Validation Specialist to join the Global MRM team from the US, overseeing validation across credit, fraud, and operations with collaboration from data scientists, product leaders, and regulators.

You will drive governance improvements, apply AI tools to accelerate validation, and ensure soundness and monitoring in line with US regulatory expectations within a global framework.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Model validation experience

Model risk management

Data science fundamentals

Python programming

SQL querying

Communication skills

AI tools experience

Education

Master’s or PhD in quantitative field

Tools

Scala

Databricks

GitHub

AI-agent tools

Job description

Nubank, a leading digital bank, seeks a Senior Model Risk Management & Validation Specialist to join the Global MRM team from the US, overseeing validation across credit, fraud, and operations with collaboration from data scientists, product leaders, and regulators.

You will drive governance improvements, apply AI tools to accelerate validation, and ensure soundness and monitoring in line with US regulatory expectations within a global framework.