Model Validator, Senior Specialist

Vanguard•Malvern, PA

1d•Hybrid

About The Position

The Model Risk Management (MRM) Team, part of Vanguard’s second line of defense, is seeking an experienced model risk professional to support independent oversight of AI/ML and generative AI models built and/or used across the enterprise. Vanguard is a global investment management firm with a mission to give investors the best chance for investment success. Across its businesses and support functions, Vanguard uses AI to drive effectiveness, efficiency, and a range of key business outcomes. In this role, you will lead the independent validation and challenge of AI models, ensuring they are conceptually sound, well‑governed, and fit for purpose. You will work closely with data scientists, quantitative developers, model users, and technology partners, providing credible challenge while maintaining strong, collaborative relationships with the business. Beyond individual model reviews, you will help drive the evolution of Vanguard’s model risk management framework, shaping methodologies, standards, and practices that support consistent, enterprise‑wide application of model risk principles.

Requirements

PhD in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, Engineering or an equivalent combination of training and experience
Minimum of 7 years of relevant experience in model development or model validation
Experience developing, testing or validating AI/ML models or systems using generative AI is required
Knowledge of programming languages including Python is a requirement
Knowledge of technology platforms used for model development and deployment, CI/CD is a requirement
Knowledge of generative AI architectures including foundation models, RAG systems, agentic workflows, prompt engineering approaches, and associated risks such as hallucinations, algorithmic bias, and harmful outputs
Knowledge of AI/ML modeling including ML algorithms, NLP, deep learning, and evaluation methodologies
Exceptional written communication skills are required, including the ability to communicate complex model risks to audiences ranging from technical practitioners to senior executives
Ability to deal effectively with a variety of stakeholder teams
Ability to effectively manage multiple and competing priorities
Exhibits flexibility and excellent judgment

Nice To Haves

Experience in the financial services sector is a plus
Broad knowledge of risk management at financial institutions preferred

Responsibilities

Assess models and systems using generative AI throughout their lifecycle including leading independent validations and assessment of ongoing monitoring, change management, and remediations of model risk findings
Provide effective challenge of model assumptions, methodologies, data, testing, implementation, monitoring and limitations, with a focus on material risk drivers
Assess compliance with internal AI standards, emerging regulatory requirements, and governance expectations related to AI/ML and generative AI systems, including fairness, explainability, transparency, and human oversight
Ensure timely execution of model validation and high-quality validation reports that meet internal standards, and communicate validation findings clearly to technical and non‑technical stakeholders
Develop, maintain and enhance validation procedures to support a consistent, risk-based approach for independent validation and effective challenge of AI/ML and generative AI systems, including keeping informed of the evolution of technology in generative and agentic AI
Contribute to the design and enhancement of model risk management policies, standards, and procedures across the full model lifecycle (inventory, development, validation, approval, and ongoing monitoring)
Support the MRM team in advising stakeholders on Model Risk policy and other relevant standards as needed
Identify emerging and top risks across the portfolio of AI/ML and generative AI models and surface them to MRM leadership
Provide coaching and mentorship to junior team members
Participate in special projects and perform other duties as assigned