ZipRecruiter

Log In

1

Model Risk Jobs in Phoenix, AZ (NOW HIRING)

USAA

Data Scientist Lead

Phoenix, AZ

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes and peer reviews technical documents for knowledge persistence, risk ...

Wells Fargo

Lead Product Manager

Chandler, AZ · Hybrid

Ensure alignment with model risk management, responsible AI, and data governance requirements * Coordinate documentation, approvals, and governance readiness * Deliver structured updates through ...

USAA

Data Scientist Senior

Phoenix, AZ · On-site

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes, and assists peers with composing, technical documents for knowledge ...

USAA

Actuary - Auto and Property Modeling

Phoenix, AZ · On-site +1

$115.70K - $136K/yr

Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. * US military experience through military service or a military spouse/domestic partner. Compensation range: The ...

USAA

Actuary - Auto and Property Modeling

Phoenix, AZ · On-site +1

$113K - $132.90K/yr

Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. * US military experience through military service or a military spouse/domestic partner. Compensation range: The ...

USAA

Actuary - Auto and Property Modeling

Phoenix, AZ · On-site +1

$115.70K - $136K/yr

Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. * US military experience through military service or a military spouse/domestic partner. Compensation range: The ...

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ

Desired Qualifications 5+ years across the AI/ML lifecycle: data management, feature engineering, model development, deployment, monitoring/observability, and model risk/governance. Experience in ...

next page

Showing results 1-20

People also search for

All JobsModel Risk JobsModel Risk Jobs in Phoenix, AZ

Model Risk information

See Phoenix, AZ salary details

$14

$30

$73

How much do model risk jobs pay per hour?

As of May 31, 2026, the average hourly pay for model risk in Phoenix, AZ is $30.12, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $38.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Risk Analyst, and why are they important?

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What are some typical challenges faced by professionals working in Model Risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What are the most commonly searched types of Model Risk jobs in Phoenix, AZ? The most popular types of Model Risk jobs in Phoenix, AZ are:
What are popular job titles related to Model Risk jobs in Phoenix, AZ? For Model Risk jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Model Risk jobs in Phoenix, AZ look for? The top searched job categories for Model Risk jobs in Phoenix, AZ are:
Model Risk jobs near you

Associate Product Manager

Purple Drive Technologies

Phoenix, AZ • On-site

Full-time

Posted 4 days ago

Job description

Overview:
Description:
5 years of product management experience, ideally in travel, financial services, or lifestyle-oriented platforms
Hands on experience with data driven products and working knowledge of ML principles and Model lifecycle
Strong understanding of customer segmentation, targeting, recommendation, and real time personalization engines
Experience participating in large scale planning, annual planning, PI planning, and working with Agile environment
Ability to synthesize complex data and communicate clear product narrative to technical and non-technical stakeholders
Proficiency with tools such as SQL, JIRA, Confluence, TableauPowerBI familiarity a plus, Python basic understanding
Familiarity with ML concepts, ML Studio, Copilot, github, elastic searchUnderstanding of Model development and software development lifecycle
Familiarity with Model explaianbility tools (SHAP, LIME etc)Understanding of Big data, Data pipeline, ETLELT processes
Understanding of Cloud Platforms (GCP, (Big Table, Lumi, Big Query, Vertex All)Security and compliance awareness GDPR, data privacy regulations, Model Governance, compliance review process, Model Risk Management
Strong communication and stakeholder management skills
Excellent communication skills with the ability to engage, influence, and inspire partners to drive collaboration and alignment. Able to create PPT for presentations.

Apply