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Model Validation Manager Jobs in Virginia (NOW HIRING)

Sallie_mae

Senior Director, Model Risk

Sterling, VA · On-site

Ensure compliance with regulatory requirements and industry standards related to model risk management. * Oversee the model validation process and ensure the independence and integrity of the ...

Intrepidgs

AI/ML Model Engineer

Mclean, VA

KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...

Intrepid

AI/ML Model Engineer

Mclean, VA · On-site

KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...

Intrepidgs

AI/ML Model Engineer

Mclean, VA

KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...

Intrepid

AI/ML Model Engineer

Mclean, VA · On-site

KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...

Leidos

Model Based Systems Engineer

Alexandria, VA

$107K - $195K/yr

You will help manage cross-functional teams,in particular operating out of the Orlando FL location ... Prior experience developing Cameo model validation scripts. * Prior experience support Department ...

Leidos

Model Based Systems Engineer

Alexandria, VA · On-site

$107K - $195K/yr

You will help manage cross-functional teams, in particular operating out of the Orlando FL location ... Prior experience developing Cameo model validation scripts. * Prior experience support Department ...

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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 Aug 12, 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 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 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.

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:
What are popular job titles related to Model Validation Manager jobs in Virginia? For Model Validation Manager jobs in Virginia, the most frequently searched job titles 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

Senior SAS/Python Model Validation and Modernization Developer

BLN24

Mclean, VA • On-site

Full-time

Medical, Dental, Vision

Re-posted yesterday

Job description

Job Title: Senior SAS/Python Model Validation and Modernization Developer
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
BLN24 is seeking a Senior SAS/Python Model Validation and Modernization Developer to join our team. The successful candidate will support statistical model validation, algorithm analysis, and modernization efforts focused on migrating legacy SAS applications and processes to Python-based solutions. This role will work closely with analysts, statisticians, data scientists, and business stakeholders to evaluate model performance, conduct what-if analyses, validate outputs, and ensure the accuracy and reliability of mission-critical analytical systems. Candidates with prior U.S. Census Bureau experience or an active/previous federal clearance are highly preferred.
Key Responsibilities:
  • Test, validate, and analyze statistical, predictive, and analytical models.
  • Evaluate model performance and assess the impact of parameter, assumption, and business-rule changes.
  • Conduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.
  • Analyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.
  • Review existing SAS applications, scripts, and macros and develop migration strategies to Python.
  • Convert SAS code, workflows, and analytical processes into maintainable Python solutions.
  • Compare and validate SAS and Python outputs to ensure functional equivalency and accuracy.
  • Develop automated testing frameworks and validation processes for migrated applications.
  • Perform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.
  • Create technical documentation, validation reports, migration plans, and process diagrams.
  • Collaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.
  • Support modernization initiatives and continuous improvement of analytical systems and processes.

Required Qualifications:
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.
  • 4+ years of experience developing analytical solutions using SAS and Python.
  • Strong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.
  • Strong Python programming skills, including experience with Pandas, NumPy, and SQL.
  • Experience testing, validating, and analyzing statistical or predictive models.
  • Experience conducting model performance evaluations and impact analyses.
  • Experience migrating SAS applications, scripts, or workflows to Python.
  • Strong understanding of algorithms, data analysis, and quantitative methodologies.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and documentation skills.
  • Ability to work independently and as part of a team.
  • U.S. Citizenship required.
     
Preferred Qualifications:
  • Previous experience supporting the U.S. Census Bureau or other federal statistical agencies.
  • Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.
  • Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.
  • Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with Git, CI/CD pipelines, and containerized environments.
  • Experience with SAS Viya and modern analytics platforms.

Key Competencies:
  • Creative problem-solving with a strong visual and storytelling instinct 
  • Curiosity and experimentation with emerging technologies, particularly AI 
  • Strategic mindset with the ability to connect content to broader campaign goals 
  • Strong collaboration and communication skills 
  • Ability to balance speed, quality, and innovation

What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
  • You can join one of the fastest growing companies headquartered in the Washington DC Metro Area.  We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
  • Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 

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