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Model Risk Jobs in Phoenix, AZ (NOW HIRING)

ClifyX

AI Prompt Engineer

Chandler, AZ · On-site

... Risk, Legal, and Compliance teams to meet regulatory and audit requirements. • Support model governance, SDLC compliance, and production readiness reviews. • Document prompt frameworks, AI ...

Synchrony

VP, Enterprise Risk

Phoenix, AZ · On-site

Maintain RAS governance documentation and controls (e.g., non-model tool inventory/documentation ... Partner across Risk Pillars and the broader business to ensure an aggregated enterprise view of ...

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ · On-site

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

Early Warning Services

IT Risk Manager

Scottsdale, AZ · Hybrid

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to ... Overview The Manager, Risk Management is responsible for the building and coordination of a ...

Early Warning Services

Sr. Risk Analyst

Scottsdale, AZ · Hybrid

$84K - $105K/yr

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to ... Overall Purpose The Sr. Risk Analyst will support the Senior Director of Enterprise Risk Management ...

New

Citizens

Program Manager - AI Engineering

Phoenix, AZ · On-site

$122K/yr

Understanding of model risk management, governance, and compliance within financial services * Demonstrated Executive Partnership & Influence * Supporting senior executives, business leaders, or ...

Citizens

Program Manager - AI Engineering

Phoenix, AZ · On-site

$122K/yr

Understanding of model risk management, governance, and compliance within financial services * Demonstrated Executive Partnership & Influence * Supporting senior executives, business leaders, or ...

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Model Risk information

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$14

$30

$73

How much do model risk jobs pay per hour?

As of Aug 6, 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 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 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 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 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 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
Infographic showing various Model Risk job openings in Phoenix, AZ as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $62,652 per year, or $30.1 per hour.

AI Prompt Engineer

ClifyX

Chandler, AZ • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
ClifyX is a company focused on developing advanced AI solutions, and they are seeking a highly skilled AI Prompt Engineer to design, develop, and optimize enterprise-grade AI solutions. The role involves working with product owners and business stakeholders to operationalize Generative AI across various functions, ensuring compliance and security in banking and financial services.
Responsibilities:
• Design, test, and refine advanced system, user, and tool prompts for frontier LLMs (GPT 4/4.1 class).
• Apply prompt engineering patterns including few shot, zero shot, ReAct, and controlled chain of thought.
• Implement Retrieval Augmented Generation (RAG) using vector search and enterprise knowledge sources.
• Continuously optimize prompts for accuracy, consistency, latency, and cost efficiency.
• Build and deploy AI assistants using Microsoft Copilot Studio.
• Integrate copilots with enterprise APIs, workflows, and data sources.
• Implement responsible AI controls including content filtering, grounding, and hallucination reduction.
• Enforce data privacy, PII masking, and access control in AI workflows.
• Collaborate with Risk, Legal, and Compliance teams to meet regulatory and audit requirements.
• Support model governance, SDLC compliance, and production readiness reviews.
• Document prompt frameworks, AI workflows, and operational standards.
Qualifications:
Required:
• Strong hands-on experience with Microsoft Copilot Studio.
• Proven experience using Azure OpenAI / OpenAI APIs.
• Practical experience with frontier LLMs (GPT 4 class or equivalent).
• Solid understanding of prompt engineering frameworks and design patterns.
• Hands-on experience with RAG architectures and vector search technologies.
• Strong knowledge of tokenization, context windows, and inference latency tradeoffs.
• Proficiency in Python for AI integration and automation.
• Experience working with REST APIs, JSON, and YAML.
• Experience with cloud platforms, preferably Microsoft Azure.
• Familiarity with AI governance, Responsible AI, and model risk management.
• Prior experience delivering enterprise copilots or chatbots at scale.
• Minimum 6+ years of experience.
Preferred:
• Experience with Power Platform (Power Apps, Power Automate).
• Exposure to model evaluation, monitoring, and AI observability tools.
• Knowledge of AI ethics and regulatory expectations in BFSI environments.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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