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Model Validation Jobs in Pennsylvania (NOW HIRING)

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 ...

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 ...

TheModelRisk &Validation Leadpositionisacrucialrole on the Model RiskManagementteam, whichis a new and expandingunitat Guardian. As such, this person will have the opportunity tocontribute to the ...

Credit, Model Validation and Enterprise Risk Management functions * Organizational design and determine if changes needed to make the risk function more effective * Available technology appropriate ...

Credit, Model Validation and Enterprise Risk Management functions * Organizational design and determine if changes needed to make the risk function more effective * Available technology appropriate ...

PA · On-site

$150 - $200/hr

Specifically the CRO will drive efficient and effective governance of market and credit risk, collateral management, underwriting corporate insurance, trade risk and analytics, model validation, KYC ...

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Model Validation information

See Pennsylvania salary details

$22

$52

$78

How much do model validation jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for model validation in Pennsylvania is $52.12, according to ZipRecruiter salary data. Most workers in this role earn between $39.52 and $63.37 per hour, depending on experience, location, and employer.

What is a model validation?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are the key skills and qualifications needed to thrive in the model validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What are some common challenges faced by professionals in model validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What job categories do people searching Model Validation jobs in Pennsylvania look for?

The top searched job categories for Model Validation jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Model Validation jobs?

Cities in Pennsylvania with the most Model Validation job openings:

Infographic showing various Model Validation job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,412 per year, or $52.1 per hour.

Full-time

Re-posted 16 days ago


Job description

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.