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Model Risk Manager Jobs in Pennsylvania (NOW HIRING)

Vanguard Group, Inc.

Model Validator

Malvern, PA · On-site

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 quantitative models used across ...

Vangard, Inc.

Model Validator

Malvern, PA · On-site

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 quantitative models used across ...

Vanguard Group

Model Validator

Malvern, PA · On-site

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 quantitative models used across ...

Customers Bank

Model Risk Management Intern

Malvern, PA · On-site

$14.75 - $19.75/hr

Build meaningful relationships across the bank through networking and team activities What you'll do - Model Risk Management: In addition to participating in the broader internship program, you'll ...

Customers Bank

Model Risk Management Intern

Malvern, PA · On-site

$14.75 - $19.75/hr

Build meaningful relationships across the bank through networking and team activities What you'll do - Model Risk Management: In addition to participating in the broader internship program, you'll ...

Deloitte

Financial Risk Manager

Philadelphia, PA

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

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Model Risk Manager information

See Pennsylvania salary details

$51.6K

$111.8K

$170.4K

How much do model risk manager jobs pay per year?

As of May 28, 2026, the average yearly pay for model risk manager in Pennsylvania is $111,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $129,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are popular job titles related to Model Risk Manager jobs in Pennsylvania? For Model Risk Manager jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Pennsylvania look for? The top searched job categories for Model Risk Manager jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Model Risk Manager jobs? Cities in Pennsylvania with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Head of Governance - Model Risk Management

Head of Governance - Model Risk Management

Vangard, Inc.

Malvern, PA • On-site

Full-time

Posted 16 days ago

Job description

Overview:
We're seeking a strategic and forwardthinking Head of Governance - Model Risk Management to shape and lead an enterprisewide model risk framework in an environment where models, data, and AI are rapidly evolving. This leader will ensure models across the organization are transparent, wellgoverned, and aligned with global regulatory expectations-driving defensible practices, strong oversight, and meaningful risk insight for senior leadership and regulators.
If you are passionate about elevating governance, influencing enterprise decisionmaking, and building a culture of accountability and risk excellence, this is a highimpact opportunity to lead the future of model and AI governance.

Responsibilities:

Framework Leadership

  • Lead the development, adoption and maintenance of the model risk framework, including policies, standards, business processes, and controls.
  • Monitor industry trends to ensure the model risk framework remains effective and efficient in managing evolving risks.
  • Partner with leaders across Vanguard to ensure model risk practices are well integrated with Enterprise, Data, Technology, Operational, and AI risk frameworks.


Committees and Senior Management Engagement

  • Support the Model Risk committee and oversee establishment of supporting Divisional Model Risk Governance forums.
  • Prepare executive-level materials for Risk Committees, Audit Committees and the Board.
  • Provide meaningful insights on model risk themes, emerging issues and model performance trends.
  • Establish robust processes for challenge, escalation and dispute resolution.


Regulatory, Audit and Compliance

  • Serve as liaison for model risk with internal (audit) and external (regulatory) stakeholders.
  • Ensure timely remediation of regulatory and audit findings.
  • Stay current on evolving global regulations, execute gap assessments and drive remediation efforts to ensure on-going compliance.


Model Inventory and Risk Appetite

  • Direct cross-functional processes such as enterprise-wide model inventory attestation to support completeness and accuracy.
  • Support development and reporting of the model risk appetite and associated Key Risk Indicators.


Technology, Data and Processes

  • Partner with the technology product owner to define requirements for model life cycle platforms.
  • Ensure governance processes are automated, scalable and executed to high data quality standards.


Leadership and Stakeholder Management

  • Lead the team of governance professionals.
  • Partner closely with the broader model risk community and connecting stakeholders (Developers, Owners, Validators, IT, Audit, AI and Enterprise Risk).
  • Promote a culture of transparency, accountability and the risk mindset.


Qualifications:

  • Advanced degree in a technical field (e.g., math, statistics, computer science).
  • At least eight years of relevant experience, including four years developing enterprise-wide policies, standards and protocols in model risk, AI or a related discipline.
  • Deep knowledge of model risk frameworks (SR11-7, SS1/23); experience with AI frameworks and the EU AI Act preferred.
  • Ability to drive enterprise-wide change and managing complex stakeholder environments.
  • Strong analytical, problem-solving and decision-making capabilities.
  • Exceptional communication and executive-presence skills with proven experience presenting to senior committees and managing executive-level stakeholders.

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.

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