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Model Validation Manager Jobs in Chester, VA (NOW HIRING)

System One

DevSecOps Engineer & MBSE Modeler

Rockville, VA · On-site

$140K - $150K/yr

... management through modern DevSecOps practices and MBSE methodologies. The ideal candidate will have ... Support model integration with DevOps pipelines (e.g., model validation, automated documentation ...

USPRO

Senior Validation Engineer

Ford, VA

Release work product into the appropriate document and change management tool. * Interface with ... Experience in testing optical models/designs * Experience in the defense and military industry.

Deloitte

System Test and Validation Lead

Richmond, VA · On-site +1

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Zillion Technologies

Business Data Analyst

Glen Allen, VA · On-site

$60 - $65/hr

Document, test, validate, and maintain analytical models following established governance standards ... Database querying and data management * Power BI and/or Tableau (strong preference for experience ...

Deloitte

System Test and Validation Lead

Richmond, VA · On-site +1

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Deloitte

System Test and Validation Lead

Richmond, VA · On-site +1

This role supports system validation strategy, audit readiness, CAPA management, and risk-based ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

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Showing results 1-20

All JobsModel Validation JobsModel Validation Manager JobsModel Validation Manager Jobs in Chester, VA

Model Validation Manager information

See Chester, VA salary details

$43.7K

$97K

$147.7K

How much do model validation manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for model validation manager in Chester, VA is $97,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $121,500.00 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 job categories do people searching Model Validation Manager jobs in Chester, VA look for? The top searched job categories for Model Validation Manager jobs in Chester, VA are:
What cities near Chester, VA are hiring for Model Validation Manager jobs? Cities near Chester, VA with the most Model Validation Manager job openings:
Model Validation Manager jobs near you

Senior Manager, Data Analysis - Card Services

Jobtailor

Richmond, VA • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description


  • Refining a new Enterprise-wide analytical tools validation framework

  • Planning and executing validation projects

  • Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes

  • Understanding technical issues in analytical tools and assessing tools risks and opportunities

  • Independently researching, identifying, and prototyping industry best practices for emerging analytical tools

  • Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations

  • Leveraging education, colleagues and training opportunities to develop solutions to business problems

  • Coaching and mentoring junior staff


Requirements

  • Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 5 years of experience performing professional data analysis work

  • At least 5 years of experience leading and developing with open source data technologies

  • At least 2 years of experience managing people

  • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field (Preferred)

  • At least 7 years of experience in statistical or econometrics hands-on work (Preferred)

  • At least 5 years of experience manipulating and performing analysis with large data sets (Preferred)

  • At least 5 years of experience in financial services industry (Preferred)

  • At least 5 years of experience in developing statistical or econometric models (Preferred)

  • At least 5 years of experience in validating statistical or econometric models (Preferred)

  • At least 2 years of experience with data governance (Preferred)

  • At least 2 years of experience with predictive analytics (Preferred)


Core Competencies

Demonstrates expertise in data analytics, statistical modeling, and validation of analytical tools, with a strong focus on risk assessment and quality assurance. Proven ability to lead teams, mentor junior staff, and communicate complex findings effectively.


Highest-signal resume keywords

  • Data Analytics

  • Statistical Modeling

  • Validation Frameworks

  • Team Leadership

  • Predictive Analytics


ATS Optimization Keywords
Hard Skills

  • Data Analysis

  • Statistical Methods

  • Econometrics

  • Data Manipulation

  • Model Validation

  • Open Source Data Technologies

  • Large Data Sets Analysis

  • Data Governance

  • Quantitative Research

  • Analytical Tool Methodologies


Soft Skills

  • Communication

  • Coaching

  • Mentoring

  • Problem Solving

  • Collaboration


Certifications & Qualifications

  • Bachelor’s Degree

  • Master’s Degree

  • PhD


Industry Keywords

  • Financial Services

  • Risk Assessment

  • Quality Assurance

  • Emerging Analytical Tools

  • Industry Best Practices

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