Model Risk Validator - AI/ML & Quant Models (Hybrid)

Vanguard Group; Malvern (Chester County); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Vanguard Group in Malvern, PA seeks a quantitative model risk professional to perform independent validation of investment models across major asset classes. You will challenge assumptions, document findings, and support governance across the MRM framework.

The role requires a quantitativeMaster’s/PhD and 3+ years (7+ preferred) in model validation or related field, with Python experience and exposure to cloud/MLOps environments. Hybrid work model emphasized.

Qualifications

• Master's or PhD in a quantitative discipline (Statistics, Mathematics, CS, Engineering, Physics, Finance, Data Science) or equivalent.
• 3+ years of relevant experience in model development, validation, or risk management; 7+ years preferred.
• Experience in asset management, investment research, or quantitative investing.
• Strong knowledge in areas like alpha/signal research, portfolio construction, risk modeling, and AI/ML applications.

Responsibilities

• Perform independent validation of investment models across asset classes.
• Provide effective challenge of model assumptions, data, and risk controls.
• Produce high-quality validation reports for technical and non-technical stakeholders.
• Develop validation methodologies and contribute to model risk policies.
• Advise stakeholders on governance and emerging industry practices.
• Stay current on developments in quantitative investing, AI/ML, and model governance.

Skills

Python

Quantitative research

Model validation

Stakeholder management

Communication

Education

Master's or PhD in quantitative discipline

Tools

Barra

Axioma

Aladdin

Job description

Vanguard Group in Malvern, PA seeks a quantitative model risk professional to perform independent validation of investment models across major asset classes. You will challenge assumptions, document findings, and support governance across the MRM framework.

The role requires a quantitativeMaster’s/PhD and 3+ years (7+ preferred) in model validation or related field, with Python experience and exposure to cloud/MLOps environments. Hybrid work model emphasized.