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Model Risk Management Jobs in Pennsylvania (NOW HIRING)

PA ยท On-site

Help build, design and implement various methodologies, measures, models and dashboards for risk ... Manages the preparation of all required reporting with regard to ERM for PJM. Provides leadership ...

The Model Risk Management (MRM) Team, part of Vanguard's second line of defense, is seeking an experienced model risk professional to support independent oversight of AI/ML and generative AI models ...

Showing results 21-40

Model Risk Management information

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$36.6K

$82.5K

$138.3K

How much do model risk management jobs pay per year?

As of Sep 14, 2026, the average yearly pay for model risk management in Pennsylvania is $82,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $90,700.00 per year, depending on experience, location, and employer.

What is a model risk management?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

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

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

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

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What does a model risk management do?

A model risk management professional oversees the identification, assessment, and mitigation of risks associated with financial and operational models. They ensure models are accurate, reliable, and compliant with regulations, often using validation tools and statistical analysis. This role helps prevent financial loss and supports decision-making processes within organizations.

What are popular job titles related to Model Risk Management jobs in Pennsylvania?

For Model Risk Management jobs in Pennsylvania, the most frequently searched job titles are:

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

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

Infographic showing various Model Risk Management job openings in Pennsylvania as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $82,527 per year, or $39.7 per hour.

AI Validation, Senior Specialist

Malvern, PA โ€ข On-site

Vangard, Inc.
Convention and Trade Show Organizersย โ€ขย 11 - 50 employees

Full-time

Posted 12 days ago


Job description

The Model Risk Management (MRM) Team, part of Vanguard's second line of defense, is seeking an experienced model risk professional to support independent oversight of AI/ML and generative AI models built and/or used across the enterprise.

Vanguard is a global investment management firm with a mission to give investors the best chance for investment success. Across its businesses and support functions, Vanguard uses AI to drive effectiveness, efficiency, and a range of key business outcomes.

In this role, you will lead the independent validation and challenge of AI models, ensuring they are conceptually sound, wellgoverned, and fit for purpose. You will work closely with data scientists, quantitative developers, model users, and technology partners, providing credible challenge while maintaining strong, collaborative relationships with the business.

Beyond individual model reviews, you will help drive the evolution of Vanguard's model risk management framework, shaping methodologies, standards, and practices that support consistent, enterprisewide application of model risk principles.

Core Responsibilities


  • Assess models and systems using generative AI throughout their lifecycle including leading independent validations and assessment of ongoing monitoring, change management, and remediations of model risk findings

  • Provide effective challenge of model assumptions, methodologies, data, testing, implementation, monitoring and limitations, with a focus on material risk drivers

  • Assess compliance with internal AI standards, emerging regulatory requirements, and governance expectations related to AI/ML and generative AI systems, including fairness, explainability, transparency, and human oversight

  • Ensure timely execution of model validation and high-quality validation reports that meet internal standards, and communicate validation findings clearly to technical and nontechnical stakeholders

  • Develop, maintain and enhance validation procedures to support a consistent, risk-based approach for independent validation and effective challenge of AI/ML and generative AI systems, including keeping informed of the evolution of technology in generative and agentic AI

  • Contribute to the design and enhancement of model risk management policies, standards, and procedures across the full model lifecycle (inventory, development, validation, approval, and ongoing monitoring)

  • Support the MRM team in advising stakeholders on Model Risk policy and other relevant standards as needed

  • Identify emerging and top risks across the portfolio of AI/ML and generative AI models and surface them to MRM leadership

  • Provide coaching and mentorship to junior team members

  • Participate in special projects and perform other duties as assigned


Qualifications

  • PhD in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, Engineering or an equivalent combination of training and experience

  • Minimum of 7 years of relevant experience in model development or model validation

  • Experience developing, testing or validating AI/ML models or systems using generative AI is required

  • Knowledge of programming languages including Python is a requirement

  • Knowledge of technology platforms used for model development and deployment, CI/CD is a requirement

  • Knowledge of generative AI architectures including foundation models, RAG systems, agentic workflows, prompt engineering approaches, and associated risks such as hallucinations, algorithmic bias, and harmful outputs

  • Knowledge of AI/ML modeling including ML algorithms, NLP, deep learning, and evaluation methodologies

  • Exceptional written communication skills are required, including the ability to communicate complex model risks to audiences ranging from technical practitioners to senior executives

  • Experience in the financial services sector is a plus

  • Broad knowledge of risk management at financial institutions preferred

  • Ability to deal effectively with a variety of stakeholder teams

  • Ability to effectively manage multiple and competing priorities

  • Exhibits flexibility and excellentjudgment

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.