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Model Validation Manager Jobs in Virginia (NOW HIRING)

Pyramid Systems

Senior Data Scientist

Fairfax, VA · On-site

Establish best practices in model validation, explainability, and interpretability * Ensure responsible AI practices including bias detection and mitigation * Support model risk management and ...

Sallie_mae

Manager, Model Risk

Sterling, VA

May manage a Model Risk team and provide guidance, support, and mentorship to team members ... Oversee the validation and testing of financial models, including model development, data analysis ...

New

Mind Ware Inc

AI Engineer

Reston, VA · On-site

Implement MLflow for parameters, metrics, artifact management, and end to end lineage. Build and ... model validation, explainability, and bias/fairness tooling Familiarity with Git based workflows ...

John Marshall Bank

Credit Administration Manager

Reston, VA · On-site

$165K - $195K/yr

Experience leading the full CECL life cycle, including managing the annual refresh process, vendor selection for model validation, and contract negotiations (specifically with Abrigo). * Regulatory ...

John Marshall Bank

Credit Administration Manager

Reston, VA · On-site

$165K - $195K/yr

Experience leading the full CECL life cycle, including managing the annual refresh process, vendor selection for model validation, and contract negotiations (specifically with Abrigo). * Regulatory ...

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All JobsModel Validation JobsModel Validation Manager JobsModel Validation Manager Jobs in Virginia

Model Validation Manager information

See Virginia salary details

$47.1K

$104.5K

$159.1K

How much do model validation manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for model validation manager in Virginia is $104,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $130,900.00 per year, depending on experience, location, and employer.

How does a Model Validation Manager typically 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.

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

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.

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 are the most commonly searched types of Model Validation jobs in Virginia? The most popular types of Model Validation jobs in Virginia are:
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What cities in Virginia are hiring for Model Validation Manager jobs? Cities in Virginia with the most Model Validation Manager job openings:
Model Validation Manager jobs near you
Sr. Consultant/Manager - Analytics Consulting - Banking

Sr. Consultant/Manager - Analytics Consulting - Banking

Tiger Analytics Inc.

Richmond, VA • On-site

Full-time

Re-posted 9 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.
The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.
Responsibilities-
1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.
Requirements
  1. 5+ years of experience in consulting, analytics, risk management roles.
  2. Demonstrated hands-on or solution design experience with Data Science/ Machine Learning algorithms.
  3. Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
  4. Experience with model validation and regulatory compliance related to credit risk, market risk, AML.
  5. Exceptional analytical and problem-solving skills, with a strong attention to detail.
  6. Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.
  7. Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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