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Model Validation Manager Jobs in High Ridge, MO (NOW HIRING)

... model configuration management, and VS Code/SysIDE for SysMLv2 textual model validation. * Establish and maintain interoperability between MBSE and Modeling, Simulation & Analysis (MS&A) tools (e.g ...

... Testing & Vendor Management - Support execution of design reviews, equipment shakedown ... models company values - Seeks out breakthrough opportunities #LI-MV1 Average base salary range ...

New

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 ...

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 ...

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 ...

Specialized Analytics Senior Analyst

O Fallon, MO · On-site

$80K - $101K/yr

Participate in model validation and testing processes to ensure compliance with regulatory standards and alignment with best practices in fraud risk management. Generate and manage regular and ad-hoc ...

Application Data Modeler

Saint Louis, MO · On-site

$53.25 - $69/hr

Utilize data catalog tools (Alation, Collibra, or comparable) to manage metadata and ensure data accessibility. * Generate and validate SQL scripts from modeling tools to support schema creation and ...

Modeling company culture, values, standards and best operational practices based on the We Believe ... In lieu of a valid driver's license and automobile insurance, Operations Manager Trainee must have ...

Operations Manager

Ladue, MO · On-site

$25.25/hr

Modeling company culture, values, standards and best operational practices based on the We Believe ... In lieu of a valid driver's license and automobile insurance, Operations Manager Trainee must have ...

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Model Validation Manager information

See High Ridge, MO salary details

$43.4K

$96.3K

$146.6K

How much do model validation manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for model validation manager in High Ridge, MO is $96,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $120,500.00 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.

Infographic showing various Model Validation Manager job openings in High Ridge, MO as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $96,261 per year, or $46.3 per hour.

Mid Software Engineer

Saint Louis, MO • On-site

Other

Posted 4 days ago


Job description

Strategic ACI is seeking a Digital Engineering (DE) / MBSE Engineer to build and operate the modeling backbone of a Digital Engineering Ecosystem supporting NGA. This hands‑on role drives day‑to‑day MBSE modeling activities, mission engineering support, and Digital Thread implementation in close collaboration with the platform engineering team.

This position is central to standing up UAF/SysML models, integrating MBSE with Modeling, Simulation & Analysis (MS&A) tools, and delivering a modular, open, standards‑based ecosystem of tools and pipelines supporting the program's Digital Engineering layer. The role supports engineering research, design development, and technical assignments in conformance with program specifications, ensuring deliverables are completed within estimated time frames, budget constraints, and established quality standards.

Salary will be commensurate within the advertised range, based on applicable qualifications.

Responsibilities:
  • Build, maintain, and evolve UAF and SysML (v1 and emerging v2) models supporting Digital Twins and the enterprise engineering baseline.
  • Configure and operate the DE tool chain, including Cameo Enterprise Architect (with Simulation Toolkit, UAF, SysML, and DataHub plugins), Teamwork Cloud for model configuration management, and VS Code/SysIDE for SysMLv2 textual model validation.
  • Establish and maintain interoperability between MBSE and Modeling, Simulation & Analysis (MS&A) tools (e.g., AFSIM, STK, Unreal Engine) to create Digital Threads linking engineering capabilities.
  • Support requirements management integration with IBM DOORS Next and traceability tooling such as Syndeia.
  • Participate in current-state capture, tool trade studies, and gap analysis for DE/MBSE and data-layer tool evaluations.
  • Support delivery of the repository of MBSE SysML models, DE data repository, tool deployments and integrations, and the Digital Engineering Management Plan (DEMP).
  • Collaborate with mission engineering/domain SMEs to translate mission threads and measures of performance/effectiveness (MoPs/MoEs) into model-based artifacts.
Qualifications:Required:
  • Active TS clearance, with SCI eligibility and the ability to pass a CI polygraph within 30 days.
  • Bachelor's degree in Systems Engineering, Aerospace/Mechanical/Electrical Engineering, Computer Science, or a related field, or additional relevant experience in lieu of a degree.
  • 5+ years of relevant MBSE/digital engineering experience.
  • Hands‑on experience building and maintaining SysML and/or UAF models using Cameo Enterprise Architect or comparable MBSE tooling.
  • Experience with model configuration management (e.g., Teamwork Cloud) and requirements management tools (e.g., IBM DOORS/DOORS Next).
  • Familiarity with digital thread concepts linking requirements, design, test, and operational data across the engineering lifecycle.
Desired:
  • Experience supporting NGA, DoD, or Intelligence Community digital engineering or modeling & simulation programs.
  • Working knowledge of SysMLv2 and textual modeling tools such as SysIDE.
  • Experience with Modeling, Simulation & Analysis (MS&A) tools such as AFSIM, STK, or Unreal Engine, or geospatial platforms such as ArcGIS.
  • Experience integrating AI/ML-enabled workflows into modeling or requirements decomposition processes.
  • INCOSE CSEP or equivalent certification.
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