Model Governance, Specialist
Vanguard is hiring a Model Governance, Specialist. Level rates it ; you can apply on Vanguard.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions visa sponsorship.
- The posting mentions MLOps, model validation and risk management among its tools and skills.
- Vanguard has 358 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Quantitative specialist responsible for the independent validation and governance of investment models including AI/ML-enabled workflows.
Overview
The Model Risk Management (MRM) Team, part of Vanguard's second line of defense, is seeking a quantitative model risk professional to support the independent oversight of models used across Vanguard's Investment Management Group (IMG).
Vanguard is a global investment management firm with a mission to give investors the best chance for investment success. Through IMG, Vanguard designs, manages, and oversees active and passive investment strategies across asset classes, investment vehicles, and geographies. These activities rely on a broad range of quantitative models, including alpha and signal models, portfolio construction and optimization models, risk models, trading models, asset allocation models, and AI/ML-enabled investment workflows.
In this role, you will perform independent validation and effective challenge of investment models, helping ensure that models are conceptually sound, appropriately governed, and fit for purpose. You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative relationships across the business.
Beyond individual model reviews, you will contribute to the continued evolution of Vanguard's model risk management framework, methodologies, standards, and practices across both traditional quantitative models and AI/ML-driven solutions.
Core Responsibilities
- Perform independent validation of investment models across major asset classes, including alpha/signal models, portfolio construction and optimization models, risk models, trading models, asset allocation models, and AI/ML-enabled investment workflows.
- Provide effective challenge of model assumptions, methodologies, data, implementation, controls, limitations, and performance monitoring frameworks.
- Produce high-quality validation reports and communicate findings clearly to both technical and non-technical stakeholders.
- Develop and enhance validation methodologies, procedures, and testing approaches to support consistent and risk-based model oversight.
- Contribute to the design and enhancement of model risk management policies, standards, and procedures across the model lifecycle.
- Advise stakeholders on model risk governance, validation expectations, and emerging industry practices.
- Remain current on developments in quantitative investing, model validation, AI/ML, and model governance.
- Partner effectively across investment, technology, risk, and control functions.
- Participate in special projects and broader MRM initiatives as needed.
Qualifications
- Master's or PhD degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Physics, Finance, Data Science, or a related field (or equivalent combination of education and relevant experience).
- 3+ years of relevant experience, ideally 7+ years, in model development, quantitative research, model validation, model risk management, or a related field.
- Experience in asset management, investment research, quantitative investing, or financial services.
- Strong knowledge in one or more areas such as:
Equities
Fixed Income
Portfolio Construction & Optimization
Alpha/Signal Research
Risk Modeling
Machine Learning and AI Applications
- Experience developing, testing, reviewing, or validating quantitative and/or AI/ML models.
- Programming experience in Python and/or similar analytical languages.
- Familiarity with cloud, MLOps, CI/CD, or modern model development environments is preferred.
- Familiarity with third-party investment and risk platforms (e.g., Barra, Axioma, Aladdin) is a plus.
- Strong analytical, communication, and stakeholder management skills.
- Demonstrated intellectual curiosity, sound judgment, and willingness to learn and evolve in a rapidly changing environment.
- Prior people leadership experience is a plus but not required.
Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
How we rate this
Model Governance, Specialist at Vanguard rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where model validation was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where quantitative analysis was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Model Validation, Risk Management, Quantitative Analysis, and Machine learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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