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Model Validation Jobs in Arizona (NOW HIRING)

Actalent

Revit Modeler

Phoenix, AZ

$25 - $35/hr

Support mechanical design calculations such as duct sizing, equipment selection, and validating model outputs against engineering design criteria. * Participate in design reviews, presenting model ...

Deloitte

AI Security Engineer Senior Manager

Gilbert, AZ

$114K - $156K/yr

Drive Standards and Controls Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability. Build and Develop Talent Lead ...

Deloitte

AI Security Engineer Senior Manager

Tempe, AZ

$109K - $150K/yr

Drive Standards and Controls Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability. Build and Develop Talent Lead ...

United Integrated Services

BIM Modeler

Phoenix, AZ · On-site

... dimensioning, model space/paper space, viewports, and scaling. * Ability to use REVIT and ... Must have and maintain a valid driver's license. May be required to travel to other sites within ...

Deloitte

AI Security Engineer Manager

Gilbert, AZ

Standards and Best Practices Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

Deloitte

AI Security Engineer Manager

Tempe, AZ

Standards and Best Practices Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

US Bank

Quantitative Model Analyst 3 - AML

Tempe, AZ · On-site

Execute and document periodic testing, validation support, and performance reviews in alignment with regulatory expectations and internal risk standards. * Review and challenge model behavior ...

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$48

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How much do model validation jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for model validation in Arizona is $48.45, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $58.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Model Validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What is a Model Validation job?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are some common challenges faced by professionals in Model Validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What are the most commonly searched types of Model Validation jobs in Arizona? The most popular types of Model Validation jobs in Arizona are:
What job categories do people searching Model Validation jobs in Arizona look for? The top searched job categories for Model Validation jobs in Arizona are:
What cities in Arizona are hiring for Model Validation jobs? Cities in Arizona with the most Model Validation job openings:
Model Validation jobs near you

Senior / Staff Machine Learning Infrastructure Engineer

Waabi

Phoenix, AZ • On-site, Remote

$157K - $234K/yr

Full-time

Posted 15 hours ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..
- Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
- Automate the training, testing and deployment processes for machine learning models.
- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Ensure compliance with security and data privacy standards in all MLOps activities.
 
Qualifications:
- 3-5 years of experience supporting machine learning training platforms.
- Bachelor’s degree in Computer Science, Data Science or a related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
- Experience managing technology such as JupyterHub and Kubeflow.
- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Experience with monitoring tools and practices for model performance in production.
- Ability to work collaboratively in cross-functional teams.
 
Bonus/nice to have: 
- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
- Knowledge of big data technologies like Apache Spark or Hadoop.
- Familiarity with data engineering practices and tools.
- Experience with A/B testing and model validation in production environments.
- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.
The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.