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Model Risk Manager Jobs in Arizona (NOW HIRING)

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation oversight for the life-cycle management of models which includes conducing model validation ...

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

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

Senior Manager - Risk Management

Phoenix, AZ · On-site

$103.75K - $174.75K/yr

... Fraud risk data assets and next generation of authentication capabilities such as Secure Push ... Flexible working model with hybrid, onsite or virtual arrangements depending on role and business ...

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... As a Senior Manager you will support the firm's AI Governance Program development and manage risk ...

Demonstrated experience working within a First Line of Defense model in a regulated financial ... Experience with risk management systems such as OpenPages preferred. Core Competencies Risk ...

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Model Risk Manager information

See Arizona salary details

$48K

$104K

$158.4K

How much do model risk manager jobs pay per year?

As of May 31, 2026, the average yearly pay for model risk manager in Arizona is $103,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $120,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are popular job titles related to Model Risk Manager jobs in Arizona? For Model Risk Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Arizona look for? The top searched job categories for Model Risk Manager jobs in Arizona are:
What cities in Arizona are hiring for Model Risk Manager jobs? Cities in Arizona with the most Model Risk Manager job openings:
Emerging Technology Risk Manager - Consumer & Business Banking

Emerging Technology Risk Manager - Consumer & Business Banking

US Bank

Tempe, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 hours ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 344 frontline employees who took The Breakroom Quiz

37th of 141 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

SUMMARY

The Emerging Technologies Risk Manager is a First Line of Defense (1FLOD) leadership role within Consumer & Business Banking (CBB), responsible for owning and executing risk management, oversight and governance for Artificial Intelligence (AI) use cases and other emerging technologies deployed by the business. This role ensures emerging technology is designed, implemented, and operated in alignment with enterprise risk appetite, regulatory expectations, and internal policies, while enabling responsible innovation.

The role partners closely with Second Line of Defense (2LOD) teams (Enterprise Risk Management, Emerging Technology Risk, Model Risk Management, Compliance, Legal, and Technology Risk) to ensure emerging technology risks are properly identified, assessed, documented, monitored, escalated, and remediated. While 2LOD provides independent oversight and challenge, this role retains business line accountability for execution, evidence, and remediation.

RESPONSIBILITIES

Emerging Technology Risk Governance & Execution:

- Own and oversee emerging technology risk management practices for CBB-owned AI use cases including generative, agentic, autonomous, embedded, and third-party AI.

- Ensure AI use cases are appropriately identified, risk-tiered, approved, registered, and monitored throughout their lifecycle.

- Drive execution of AI policy and procedural requirements, ensuring required artifacts are produced and maintained (e.g., registry records, monitoring plans, testing evidence).

- Lead identification, documentation, and remediation of emerging-technology-related risks, control gaps, issues, and action plans within CBB.

- Apply deep knowledge of CBB's AI enablement strategy to align AI risk governance with CBB business priorities, strategic initiatives, and growth objectives.

Risk Assessment, Monitoring & Issue Management:

- Oversee AI testing, monitoring, and metrics execution aligned to AI risk tier and business use.

Ensure appropriate Human-in-the-Loop or compensating controls are implemented where required.

- Monitor AI performance, anomalies, data risks, and control effectiveness; escalate emerging risks in accordance with established escalation pathways.

- Provide subject matter expertise and support for AI-related issues, risk acceptances, and remediation efforts, including coordination with CBB, Technology and 2LOD partners.

REQUIRED

- Bachelor's degree, or equivalent work experience.

- Typically 10+ years of applicable experience in risk management, compliance, audit, technology risk, or operational risk.

PREFERRED

- Demonstrated experience operating in a First Line of Defense risk role with accountability for execution and outcomes.

Strong understanding of enterprise risk management concepts and the Three Lines of Defense model.

- Experience overseeing or supporting AI, emerging technology, or advanced analytics risk within financial services.

- Working knowledge of emerging technology governance concepts, including risk tiering and materiality.

- Human-in-the-Loop controls.

- Monitoring, testing, and metrics.

- Transparency and explainability.

- Experience partnering closely with 2LOD risk functions while retaining 1FLOD ownership.

- Strong issue management, remediation, and escalation experience.

- Proven ability to lead complex, ambiguous risk topics and influence senior stakeholders.

- Experience with risk tooling and workflows (e.g., ServiceNow or similar platforms).

- Applicable professional certifications a plus (e.g., CRCM, CRISC, CISA, PMP).

- Strong analytical, problem-solving, and judgment skills in complex risk scenarios.

- Clear, executive-ready written and verbal communication.

- Ability to translate technical emerging technology concepts into actionable business risk decisions.

- Proven leadership of teams, processes, and cross-functional initiatives.

- Strong collaboration skills.

- Highly self-directed with the ability to build subject-matter expertise rapidly in emerging risk areas.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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