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Vetting Inspector Jobs in Baltimore, MD (NOW HIRING)

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Vetting Inspector information

See Baltimore, MD salary details

$24.3K

$54.6K

$98.4K

How much do vetting inspector jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vetting inspector in Baltimore, MD is $54,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,300.00 and $63,100.00 per year, depending on experience, location, and employer.

What is a vetting inspector?

Vetting Inspectors are professionals responsible for assessing and verifying the credentials, backgrounds, and suitability of individuals or organizations, often for security, regulatory, or compliance purposes. They conduct thorough investigations, which may include checking criminal records, employment history, financial standing, and other relevant information. Vetting Inspectors work in a variety of industries such as government, law enforcement, and private sector companies to help ensure that only qualified and trustworthy individuals or entities are granted access, employment, or contracts.

What are the key skills and qualifications needed to thrive as a vetting inspector?

To thrive as a Vetting Inspector, you need a keen attention to detail, strong analytical skills, and a background in security or law enforcement, often supported by relevant certifications or training in background investigations. Familiarity with background check databases, identity verification systems, and report-writing tools is typically required. Excellent communication, discretion, and integrity are vital soft skills for conducting sensitive investigations and interviewing subjects. These skills ensure thorough, accurate vetting processes that protect organizational integrity and security.

What are some common challenges faced by vetting inspectors during the inspection process, and how can they be managed?

Vetting Inspectors often encounter challenges such as incomplete documentation, non-compliance with regulations, and resistance from individuals or organizations being inspected. Managing these issues requires strong attention to detail, effective communication skills, and a thorough understanding of relevant standards and protocols. Building rapport with stakeholders and maintaining professionalism can help facilitate smoother inspections and ensure accurate, unbiased reporting. Ongoing training and staying updated with industry regulations also play a key role in overcoming these challenges.

What is the difference between Vetting Inspector vs Quality Control Inspector?

AspectVetting InspectorQuality Control Inspector
Required CredentialsCertifications in inspection or safety standards, relevant licensesCertifications in quality assurance, inspection, or industry-specific standards
Work EnvironmentField inspections, site visits, or manufacturing facilitiesManufacturing plants, production lines, or laboratories
Employer & Industry UsageUsed in industries like construction, transportation, or securityCommon in manufacturing, aerospace, and production industries
Search & Comparison IntentPeople comparing inspection roles focused on vetting processesIndividuals looking into quality assurance and control roles

Vetting Inspectors primarily focus on verifying compliance, safety, and credentials during inspections, often in the field. Quality Control Inspectors concentrate on ensuring products meet quality standards during manufacturing. While both roles involve inspection, Vetting Inspectors emphasize compliance verification, whereas Quality Control Inspectors focus on product quality assurance.

What job categories do people searching Vetting Inspector jobs in Baltimore, MD look for?

The top searched job categories for Vetting Inspector jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Vetting Inspector jobs?

Cities near Baltimore, MD with the most Vetting Inspector job openings:

Vetting Inspector jobs near you
Infographic showing various Vetting Inspector job openings in Baltimore, MD as of August 2026, with employment types broken down into 78% Full Time, 12% Part Time, 1% Temporary, 7% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $54,590 per year, or $26.2 per hour.

Operations Research / Systems Analyst (ORSA) - Optimization & Mathematical Programming

SMX

Hanover, MD • On-site

$98K - $115K/yr

Full-time

Re-posted 22 days ago

Job description

The Operations Research (OR) Analyst - Optimization & Mathematical Programming Focus provides advanced optimization, resource allocation, and prescriptive analytics across a Federal Agency's personnel vetting, industrial security, and counterintelligence operations. This position formulates and solves complex mathematical programming problems that enable the Federal Agency to optimize resource deployment, prioritize competing requirements, and transition from reactive decision-making toward mathematically grounded, optimal resource allocation strategies.

Essential Duties and Responsibilities

Mathematical Optimization & Resource Allocation

  • Formulate real-world resource allocation problems as mathematical optimization models (linear programming, integer programming, mixed-integer programming)
  • Develop and implement optimization algorithms for complex assignment problems including adjudicator workload distribution, facility inspection scheduling, and investigator allocation
  • Apply constraint programming and heuristic methods to solve large-scale, computationally challenging optimization problems
  • Build decision support tools that enable operational leaders to explore tradeoffs and make resource deployment decisions with mathematical rigor

Strategic Analysis & Decision Support

  • Conduct cost-benefit analyses and apply mathematical programming techniques to optimize the distribution of personnel, budgetary, and operational resources across competing requirements
  • Apply risk-based optimization to prioritize facility assessments, case assignments, and inspection schedules based on threat levels and resource constraints
  • Perform trade-space analysis and sensitivity studies to understand how optimal solutions change under different assumptions, constraints, or objectives
  • Develop multi-objective optimization approaches that balance competing goals (speed, quality, cost, risk mitigation)

Model Development & Implementation

  • Utilize optimization solvers (Gurobi, CPLEX, or open-source alternatives like Pyomo, PuLP, OR-Tools) to implement and solve mathematical models
  • Validate optimization model outputs against historical operational data and subject matter expert judgment
  • Develop prescriptive analytics that recommend specific actions based on optimization results
  • Create scenario planning tools that allow decision-makers to explore "what-if" questions regarding resource allocation strategies

Collaboration & Communication

  • Work closely with modeling/simulation specialists to incorporate predictive analytics into optimization formulations
  • Partner with data engineering specialists to obtain empirically-grounded parameters, constraints, and objective function coefficients
  • Translate mathematical optimization results into clear, actionable recommendations for non-technical decision-makers
  • Present optimization approaches, tradeoff analyses, and recommendations to senior leadership
  • Participate in cross-functional team activities to maintain technical standards and share knowledge

Required Skills & Experience 

  • 8+ years of progressive, hands-on operations research experience, including demonstrated application of mathematical optimization, resource allocation modeling, and prescriptive analytics to real-world operational problems
  • 3-5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
  • Expert-level proficiency in mathematical optimization including linear programming, integer programming, and mixed-integer programming
  • Hands-on experience with optimization solvers (Gurobi, CPLEX, FICO Xpress, or open-source alternatives such as Pyomo, PuLP, OR-Tools, COIN-OR)
  • Demonstrated ability to formulate real-world problems as mathematical programs, including objective function design and constraint identification
  • Proven proficiency in an analytical programming language (Python or R), with emphasis on optimization modeling libraries
  • Experience with constraint programming and heuristic solution methods for large-scale or computationally difficult problems
  • Strong foundation in algorithm design, computational complexity, and solution methods
  • Ability to validate optimization models using operational data and communicate results to non-technical stakeholders
  • Experience working in secure (classified) government environments
  • Secret clearance required (active or ability to obtain)

Desired Skills & Experience 

  • Advanced degree in Operations Research, Applied Mathematics, Industrial Engineering, Management Science, or a related quantitative discipline
  • Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
  • Experience with nonlinear optimization and stochastic optimization techniques
  • Knowledge of multi-objective optimization and Pareto analysis
  • Network optimization and graph algorithms (shortest path, max flow, matching problems)
  • Experience with scheduling and routing problems (job shop scheduling, vehicle routing)
  • Familiarity with game theory and decision analysis under uncertainty
  • Knowledge of operations research software (AMPL, GAMS)
  • Data visualization tools (Tableau, Power BI) for communicating optimization results
  • SQL and database querying skills to support model parameterization
  • Knowledge of queueing theory and simulation to better integrate with modeling specialists
  • Experience with statistical modeling and risk analysis to inform optimization formulations
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About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US

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