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Model Validation Manager Jobs (NOW HIRING)

AI Model Validation Lead Be part of something groundbreaking At AIG, we are making long-term ... We will incorporate best-in-class engineering and product management principles and your guidance ...

Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards that are required to manage modeling processes ...

$63K - $78K/yr

... manage complex risk. As a Senior Model Validation Analyst, you will independently evaluate ... sophisticated scientific, engineering, and financial model components, turning complex data into ...

Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards that are required to manage modeling processes ...

Senior Model Validation Analyst

Boston, MA · On-site

$92K - $115K/yr

... manage complex risk. As a Senior Model Validation Analyst, you will independently evaluate ... sophisticated scientific, engineering, and financial model components, turning complex data into ...

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Model Validation Manager information

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$47.5K

$105.4K

$160.5K

How much do model validation manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for model validation manager in the United States is $105,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $132,000.00 per year, depending on experience, location, and employer.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

What skills and qualifications are needed to be a model validation manager?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

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

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

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Infographic showing various Model Validation Manager job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 70% In-person, 20% Hybrid, and 10% Remote job distribution, with an average salary of $105,415 per year, or $50.7 per hour.

Head of Validation, Model Risk Management

Charlotte, NC • On-site

Vangard, Inc.
Convention and Trade Show Organizers • 11 - 50 employees

Full-time

Re-posted 15 days ago


Key responsibilities

  • Lead a multidisciplinary model validation team responsible for validating a diverse portfolio of models.

  • Serve as the final approval authority for validation reports on higher-risk models and ensure validation conclusions are well-supported and clearly communicated.

  • Oversee adherence to enterprise model lifecycle requirements, including model inventory, change management, monitoring, and issue remediation.


Job description

Overview
The Head of Validation, Model Risk is a senior leadership role responsible for setting enterprise direction for model validation-delivering independent, risk-based oversight across a diverse portfolio of models spanning investment and risk management, fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases. This role serves as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders. The Head of Validation will strengthen model risk culture and lifecycle discipline across the enterprise-driving timely issue remediation, elevating validation quality and consistency, and ensuring Vanguard's practices remain aligned with regulatory and audit expectations.

Responsibilities

Leadership & Team Management

  • Leads a highperforming, multidisciplinary model validation team responsible for validating a diverse portfolio of models including investment and risk management, fraud and compliance, finance and HR, as well as Gen AI and Agentic use cases
  • Develop and mentor talent to promote strong technical capabilities and a high-quality validation process

Validation Oversight & Approval

  • Serve as the final approval authority for validation reports on higher-risk models
  • Ensure validation conclusions are robust, wellsupported, and communicated clearly to stakeholders with varying levels of technical expertise

Model Risk Governance & Lifecycle Management

  • Oversee adherence to enterprise model lifecycle requirements-including model inventory accuracy, change management, ongoing monitoring, and issue remediation.
  • Drive timely resolution of modelrelated issues and noncompliance, escalating when necessary
  • Strengthen modelrisk culture across the enterprise through targeted training, outreach, and proactive engagement with model owners and developers

Methodology & Practice Leadership

  • Define, maintain, and continually enhance the methodologies and test approaches used in model validation
  • Ensure comprehensive assessment of conceptual soundness, performance, data quality, implementation accuracy, and other model risk considerations
  • Lead the evolution of validation techniques for emerging modeling approaches, including LLMenabled and agentic systems

Standards, Policies & Quality Assurance

  • Own the enterprise's model development and model validation standards, guidelines, procedures, and templates.
  • Establish and oversee quality assurance mechanisms-including peer review, thematic reviews, and consistency checks-to ensure embedment of high-quality validation practices.

Executive Reporting & Model Risk Insights

  • Deliver clear, actionable reporting on key model risks, model uncertainty, issue remediation, and emerging trends to senior committees and executives.
  • Support the development and enhancement of divisional and enterprise modelquality scorecards and contribute to the riskappetite process

Senior Stakeholder, Regulatory & Audit Engagement

  • Serve as a primary point of contact for regulators, internal audit, and senior leaders on model validation related matters
  • Articulate validation rationales, modeling assumptions, and risk implications clearly and confidently to supervisory authorities and executive stakeholders.


Qualifications

  • Advanced degree in technical field (e.g. Master's or doctoral degree in quantitative discipline such as Mathematics, Statistics, or Economics).
  • 10+ years of experience across model development, model validation, and model risk management, including a minimum of five years leading multilayered model validation teams.
  • Extensive experience with a broad range of model types, including machine learning/LLMbased models.
  • Deep knowledge of modelrisk management principles and regulatory frameworks (e.g., SR26-2, SS1/23) and demonstrated experience engaging with regulators and internal audit.
  • Strong technical proficiency with programming languages and analytical tools such as Python, R, or C++, and familiarity with emerging technologies, AI governance, and modern model development practices.
  • Proven ability to translate complex technical concepts into clear, actionable insights for senior executives.
  • Exceptional written and verbal communication skills, including experience presenting to senior committees, executives, and regulatory bodies.
  • Demonstrated ability to partner with stakeholders to balance effective challenge, practical solutions, and business objectives.

Special Factors

Sponsorship

Vanguard is not 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.