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Validator Jobs (NOW HIRING)

Operational • Conduct model validation activities based on internal MRM policy and procedures. • Conduct and perform quality assurance for model risk reporting. • Communicate effectively with ...

Commissioning Validator

Abilene, TX · On-site

$65 - $90/hr

The Commissioning Validator will support commissioning validation for large-scale data center delivery programs, ensuring electrical, mechanical, controls, life-safety, and supporting infrastructure ...

The Information Security Continuous Monitoring Validator provides support to the customer in the area of Cyber Security. Daily tasks include, but are not limited to: * Supports the Information ...

Herren Associates is looking for highly capable Intermediate Navy Validator that is ready for a fast paced career in cyber security, data analysis, and project management. Candidates should have a a ...

The DRG Validation position requires an extensive background in inpatient DRG coding with a deep understanding of the MS-DRG and APR-DRG payment systems. The validator is responsible for auditing ...

AGE Solutions is looking for a SCA-R Validator to join our team in support of a cybersecurity risk management and assessment program with our DoD customer. In this role, you will perform functions ...

AGE Solutions is looking for a SCA-R Validator to join our team in support of a cybersecurity risk management and assessment program with our DoD customer. In this role, you will perform functions ...

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Validator information

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How much do validator jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for validator in the United States is $17.17, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $19.23 per hour, depending on experience, location, and employer.

What are the most common challenges validators face in their daily work?

Validators often encounter challenges such as interpreting complex regulatory requirements, troubleshooting unexpected deviations during validation testing, and maintaining meticulous documentation for audits. They may also need to coordinate with multiple departments, including engineering, quality assurance, and production, to ensure all processes meet standards. Staying current with evolving regulations and industry best practices is essential to success in this role. While the position requires attention to detail and persistence, it also provides valuable opportunities to develop expertise in compliance and quality assurance, which can support career advancement.

How do I become a statistics validator?

To become a statistics validator, you typically need a strong background in statistics, mathematics, or data analysis, often demonstrated through a relevant degree or certification. Skills in data validation, attention to detail, and proficiency with statistical software or tools like Excel, R, or Python are important. Gaining experience through internships or entry-level roles in data quality assurance can also help establish credibility in this field.

What is a validator?

A Validator is responsible for reviewing, testing, and verifying data, processes, or systems to ensure accuracy, compliance, and reliability. This role is common in industries like finance, blockchain, pharmaceuticals, and engineering, where precise validation is critical. Validators analyze documentation, run tests, and confirm that systems meet regulatory or operational standards. Their work helps maintain quality control, prevent errors, and ensure that processes function as intended.

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

To thrive as a Validator, you need strong analytical skills, keen attention to detail, and an understanding of relevant industry standards, typically supported by a degree in quality assurance, engineering, or a related field. Familiarity with validation software, data analysis tools, and regulatory compliance systems (such as GMP, ISO, or FDA guidelines) is often required. Strong organizational skills, effective communication, and the ability to work independently or within cross-functional teams help set exceptional Validators apart. These skills are crucial for ensuring product or process quality, regulatory compliance, and smooth collaboration in validation projects.

More about Validator jobs
What cities are hiring for Validator jobs? Cities with the most Validator job openings:
What are the most commonly searched types of Validator jobs? The most popular types of Validator jobs are:
What states have the most Validator jobs? States with the most job openings for Validator jobs include:
Infographic showing various Validator job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $35,722 per year, or $17.2 per hour.

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Job description

Essential Function / major duties and responsibilities of the job

Strategic

•      The Model Validator is responsible for validating CLS models, maintaining model validation standards and procedure documents, engaging with CLS MRM stakeholders on model risk matters, and MRM reporting.

Operational

•      Conduct model validation activities based on internal MRM policy and procedures.

•      Conduct and perform quality assurance for model risk reporting.

•      Communicate effectively with CLS businesses on model risk matters.

•      Collaborate with the Model Governance to ensure model governance and standards are appropriate for the firm’s risk profile and ensure enterprise-wide adherence.

Leadership

•      Execute model validation.

•      Enhance capabilities to operate MRM developed challenger/benchmark models.

Experience / essential and desired for successful job performance

•      0-3 years’ experience in the model risk management at a regulated financial institution.

•      Understanding of settlement and clearing, and the differences is a plus.

•      Knowledge of US Banking Regulations (Federal Reserve Board) is a plus.

•      Experience in working with statistical models.

Qualifications / Certifications

•      Bachelor’s degree is required; MS/MA or MBA is desired.

•      Experience with numerical and statistical tools: e.g. SAS, MATLAB, S-Plus, R, Python, C++.

Knowledge, skills and abilities / competencies required for successful job performance

·      Attention to detail to ensure consistent, correct, and accurate execution of model validation and reporting.

·      Knowledge of regulatory guidance on model risk management and industry best practice.

·      Knowledge of capital market products, esp. FX.

·      Strong verbal and written communication skills.

Success factors / ‘How’. Personal characteristics contributing to an individual’s ability to excel in the position

·      Excellent interpersonal communication skills, both written and verbal.

·      High ethical standards and a profound sense of integrity and confidentiality.

·      Challenging assumptions and maintaining independence and objectivity.

·      Build consensus, to influence both internal and external stakeholders.

·      Results oriented team player.

·      Ability to effectively take and drive initiative.

·      Self-starter, energetic; strive for excellence.