Model Risk & Validation Strategist

Vanguard Group

Lees (PA)

Hybrid

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

Vanguard is seeking a quantitative model risk professional to support independent oversight of models used across the Investment Management Group. The role performs validation, challenges assumptions, and ensures models are sound and governed.

You will work with researchers, data scientists, portfolio managers, and technology partners to advance the model risk framework and apply AI/ML-enabled investment workflows across asset classes. Hybrid work environment and visa sponsorship are available.

Qualifications

  • Master's or PhD in a quantitative discipline or equivalent experience.
  • 3+ years of experience in model development, validation, or risk management.
  • Experience in asset management or financial services.
  • Proficiency in Python or similar analytical languages.
  • Cloud/MLOps/CI/CD experience preferred.

Responsibilities

  • Perform independent validation of investment models across major asset classes.
  • Provide effective challenge of model assumptions, methodologies, data, and controls.
  • Produce high-quality validation reports for technical and non-technical stakeholders.
  • Develop and enhance validation methodologies, procedures, and testing approaches.
  • Contribute to model risk management policies, standards, and procedures.
  • Advise stakeholders on governance, validation expectations, and industry practices.
  • Remain current on developments in quantitative investing, AI/ML, and governance.
  • Partner across investment, technology, risk, and control functions.
  • Participate in special projects and broader MRM initiatives.

Skills

Python programming
Statistical analysis
Model validation
AI/ML applications
Communication
Stakeholder management
Cloud computing
MLOps

Education

Master's or PhD in quantitative discipline

Tools

Barra
Axioma
Aladdin

Job description

Vanguard is seeking a quantitative model risk professional to support independent oversight of models used across the Investment Management Group. The role performs validation, challenges assumptions, and ensures models are sound and governed.

You will work with researchers, data scientists, portfolio managers, and technology partners to advance the model risk framework and apply AI/ML-enabled investment workflows across asset classes. Hybrid work environment and visa sponsorship are available.

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