Vanguard

Financial Services

HeadofValidation,ModelRiskManagement

$350–550k ~AI est. Malvern, Pennsylvania, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Head of Validation, Model Risk Management at Vanguard. Skills: Model Risk Management, Model Validation, Leadership. Lead model validation team. Develop and mentor talent”

What You'll Achieve.

Deliver decision-ready risk communication; Elevate validation quality; Ensure alignment with regulatory expectations; Ensure alignment with audit expectations

Industry & Context.

Financial Services
Problems you'll solve

Rigorous challenge; Translating complex concepts

Eligibility Requirements

No visa sponsorship

What They're Looking For.

Must Have

Advanced degree in technical field, 10+ years of experience, 5 years leading teams, Extensive experience with machine learning/LLM models, Deep knowledge of model-risk management principles, Demonstrated experience engaging with regulators, Technical proficiency with Python, R, or C++, Familiarity with emerging technologies, Familiarity with AI governance, Familiarity with modern model development practices, Proven ability to translate complex technical concepts, Exceptional written communication skills, Exceptional verbal communication skills, Experience presenting to senior committees, Experience presenting to executives, Experience presenting to regulatory bodies, Demonstrated ability to partner with stakeholders

Nice to Have

Master's or doctoral degree in quantitative discipline

What You'll Do.

Lead model validation team

Develop and mentor talent

Approve validation reports

Ensure validation conclusions are robust

Communicate validation conclusions clearly

Oversee adherence to model lifecycle requirements

Drive timely resolution of model issues

Escalate non-compliance when necessary

Strengthen model-risk culture

Define validation methodologies

Enhance validation methodologies

Ensure comprehensive assessment of models

Lead evolution of validation techniques

Own model development standards

Own model validation standards

Establish quality assurance mechanisms

Oversee quality assurance mechanisms

Deliver reporting on model risks

Deliver reporting on model uncertainty

Deliver reporting on issue remediation

Deliver reporting on emerging trends

Support development of scorecards

Contribute to risk-appetite process

Serve as primary contact for regulators

Serve as primary contact for internal audit

Serve as primary contact for senior leaders

Articulate validation rationales

Articulate modeling assumptions

Articulate risk implications

How You'll Work.

Team & Collaboration

Cross-functional teams; Model owners; Model developers; Senior committees; Executives; Regulators; Internal audit; Senior leaders

Communication Scope

Risk communication; Executive presentations; Regulatory presentations

Process & Methodology

Lifecycle management, Issue remediation

Full Job Description

**_Overview_** The Head of Validation, Model Risk is a senior leadership role responsible for setting enterprise direction for model validation—delivering independent, risk-based oversight across a diverse portfolio of models spanning investment and risk management, fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases. This role serves as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders. The Head of Validation will strengthen model risk culture and lifecycle discipline across the enterprise—driving timely issue remediation, elevating validation quality and consistency, and ensuring Vanguard’s practices remain aligned with regulatory and audit expectations. **_Responsibilities_** **Leadership & Team Management** * Leads a high‑performing, multidisciplinary model validation team responsible for validating a diverse portfolio of models including investment and risk management, fraud and compliance, finance and HR, as well as Gen AI and Agentic use cases * Develop and mentor talent to promote strong technical capabilities and a high-quality validation process **Validation Oversight & Approval** * Serve as the final approval authority for validation reports on higher-risk models * Ensure validation conclusions are robust, well‑supported, and communicated clearly to stakeholders with varying levels of technical expertise **Model Risk Governance & Lifecycle Management** * Oversee adherence to enterprise model lifecycle requirements—including model inventory accuracy, change management, ongoing monitoring, and issue remediation. * Drive timely resolution of model‑related issues and non‑compliance, escalating when necessary * Strengthen model‑risk culture across the enterprise through targeted training, outreach, and proactive engagement with model owners and developers **Methodology & Practice Leadership** * Define, ma

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