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Model Risk Manager Jobs in North Carolina (NOW HIRING)

This will include developing recommendations for the most efficient approach to modeling, risk ... Ability to manage multiple competing priorities and respond to technical and/or financial inquiries ...

TheERP Risk and Automation Services (ERAS) Consulting practice,assistswith various consulting ... Model RSM's core values: caring, curious, collaborative, courageous, and critical thinking * Manage ...

In this role, you will provide insights and expertise in model development and quantitative ... You are responsible for helping Enact succeed in its targeted acquisition, management, and ...

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Model Risk Manager information

See North Carolina salary details

$46.8K

$101.4K

$154.5K

How much do model risk manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for model risk manager in North Carolina is $101,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $117,200.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Model Risk Manager jobs in North Carolina look for? The top searched job categories for Model Risk Manager jobs in North Carolina are:
What cities in North Carolina are hiring for Model Risk Manager jobs? Cities in North Carolina with the most Model Risk Manager job openings:
Infographic showing various Model Risk Manager job openings in North Carolina as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $101,382 per year, or $48.7 per hour.
Quantitative Model Analyst 3 - AML

Quantitative Model Analyst 3 - AML

US Bank

Charlotte, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

38th 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 DescriptionNOTE: This position is not eligible for current or future visa sponsorship.

This role is an individual contributor position within the Bank's Enterprise Financial Crime Compliance (EFCC) organization. The person in this role will join a team of Financial Intelligence Unit (FIU) analysts which focuses on the ongoing monitoring, testing, and governance of AML Transaction Monitoring models.

The individual will partner closely with model owners, Model Risk Management, internal and external auditors, and senior leadership to evaluate model behavior, identify emerging risks, and support enhancements to AML monitoring capabilities across the enterprise. This team is integral to maintaining and enhancing the Bank's Anti-Money Laundering Transaction Monitoring systems.

The ideal candidate for this role should possess a strong eye for code review, thorough understanding of model risk, previous experience with BSA/AML monitoring tools, and be familiar with SAS, SQL, and Python. Moreover, candidates should demonstrate robust skills in data science, model evaluation, and documentation of findings.

This individual is expected to be highly self-driven, well-organized, and efficient in time management, capable of handling multiple tasks at once. Responsibilities include performing ongoing monitoring and performance assessments of AML Transaction Monitoring models, conducting comprehensive code reviews and code change assessments, and executing below-the-line testing of model thresholds. Each task requires comprehensive, wellstructured documentation of analyses and conclusions such that work can be independently understood, reviewed, and defended without additional explanation.

Essential Functions:

  • Execute and document periodic testing, validation support, and performance reviews in alignment with regulatory expectations and internal risk standards.

  • Review and challenge model behavior, limitations, and assumptions; identify potential control gaps and recommend remediation actions.

  • Conduct comprehensive code reviews and code change assessments for AML Transaction Monitoring models to ensure alignment with documented intent, coding standards, and regulatory requirements.

  • Provide clear, constructive feedback to model and code owners, supporting effective issue resolution and continuous improvement.

  • Maintain and enhance internal tracking tools supporting code review and governance activities.

  • Assess model threshold & sampling soundness through BelowtheLine (BTL) reviews and support ongoing calibration decisions

  • Prepare and present materials for audiences including senior leadership, Model Risk Management, Corporate Audit, and regulatory partners.

Basic Qualifications

- Bachelor's degree in a quantitative field, and five or more years of relevant experience
OR
- MA/MS in a quantitative field, and three or more years of related experience
OR
- PhD in a quantitative field, and less than two years of related experience

Preferred Skills/Experience

  • Experience working with quantitative models, analytics, or monitoring frameworks in a regulated environment

  • Proficiency in SAS, SQL, and Python for data analysis, testing, and automation

  • Strong analytical skills with attention to detail and the ability to evaluate complex model behavior

  • Experience supporting AML/BSA Transaction Monitoring systems or financial crime detection tools. Understanding of AML best practices and regulatory expectations.

  • Ability to work independently while managing multiple priorities in a fast-paced environment

  • Ability to clearly communicate (verbally and in writing) model performance, risks, and recommendations, tailoring technical depth to the target audience

  • Selfdirected problem solver who identifies gaps and resolves issues independently

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

NOTE: This position is not eligible for current or future visa sponsorship.

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: $98,175.00 - $115,500.00

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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