Independent Quant Model Risk Validator

Vanguard; Charlotte (NC); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Vanguard is seeking a quantitative model risk professional to support independent oversight of models used across IMG. The role involves validation of alpha, signal, risk, trading, asset allocation, and AI/ML-enabled workflows, with collaboration across researchers, PMs, developers, and technology partners.

You will contribute to evolving MRM frameworks, standards, and practices, ensuring models are sound, well-governed, and fit for purpose in a hybrid work environment.

Qualifications

• Advanced degree in statistics, mathematics, CS, engineering, physics, finance or data science.
• 3+ years of relevant experience; 7+ years preferred in model development, validation or risk management.
• Experience in asset management or financial services with quantitative focus.

Responsibilities

• Perform independent validation of investment models across major asset classes.
• Provide challenge of model assumptions, methodologies, data, controls and monitoring frameworks.
• Produce high-quality validation reports and communicate findings to technical and non-technical stakeholders.
• Develop validation methodologies and testing approaches for consistent model oversight.
• Advise on model risk governance and emerging industry practices.

Skills

Python

Model validation

Quantitative analysis

Communication

Education

Master's or PhD in quantitative field

Equivalent combination of education and experience

Tools

Barra

Axioma

Aladdin

Job description

Vanguard is seeking a quantitative model risk professional to support independent oversight of models used across IMG. The role involves validation of alpha, signal, risk, trading, asset allocation, and AI/ML-enabled workflows, with collaboration across researchers, PMs, developers, and technology partners.

You will contribute to evolving MRM frameworks, standards, and practices, ensuring models are sound, well-governed, and fit for purpose in a hybrid work environment.