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How much do qrm modeling analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for qrm modeling analyst in the United States is $31.53, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $35.82 per hour, depending on experience, location, and employer.

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

To thrive as a QRM Modeling Analyst, you need a solid background in quantitative finance, statistics, and risk management, often supported by a degree in mathematics, finance, or a related field. Expertise in QRM (Quantitative Risk Management) software, data analysis tools like SQL or Python, and familiarity with regulatory frameworks are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for accurately modeling financial risks, ensuring regulatory compliance, and effectively communicating complex risk insights to stakeholders.

What is the difference between Qrm Modeling Analyst vs Quantitative Analyst?

AspectQrm Modeling AnalystQuantitative Analyst
Required CredentialsTypically requires a degree in finance, mathematics, or related fields; certifications like CFA or FRM are commonSimilar credentials; often holds advanced degrees and certifications such as CFA, FRM, or PhD in quantitative fields
Work EnvironmentFinancial institutions, risk management teams, insurance companiesInvestment banks, hedge funds, asset management firms
Primary FocusDeveloping risk models, assessing credit and market risk, regulatory complianceDeveloping trading algorithms, pricing models, and investment strategies

While both roles require strong quantitative skills and similar credentials, the Qrm Modeling Analyst primarily focuses on risk modeling and regulatory compliance within financial institutions. In contrast, the Quantitative Analyst often works on trading strategies and investment models. Both roles are integral to financial firms but serve different core functions.

What are the typical challenges a QRM Modeling Analyst faces when balancing regulatory requirements with business objectives?

As a QRM Modeling Analyst, one common challenge is navigating the sometimes competing demands of regulatory compliance and the organization's strategic business goals. Regulatory frameworks can require strict model validation, documentation, and stress testing, which may slow down implementation or require model adjustments that impact business agility. Analysts must work closely with risk management, compliance, and business teams to ensure models are robust, transparent, and align with both regulatory standards and the company's risk appetite. Effective communication and a proactive approach to regulatory updates are essential for success.

What is a QRM Modeling Analyst?

A QRM Modeling Analyst is a finance professional who specializes in using Quantitative Risk Management (QRM) software to analyze and model financial risks for banks or other financial institutions. Their main responsibilities include developing and maintaining risk models, analyzing interest rate risk, liquidity risk, and other financial exposures, and providing insights to help organizations make informed decisions. They work closely with risk management teams and use statistical techniques to interpret large data sets. Strong analytical, quantitative, and communication skills are essential for this role.
Quantitative Model Analyst - Cash Flow Modeling

Quantitative Model Analyst - Cash Flow Modeling

US Bank

Cincinnati, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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 Description

We are seeking a strong, decisive, and results-oriented quantitative analyst to join our Quantitative Finance Forecast & Production (QFFP) team within U.S. Bank's Corporate Treasury Division. In this role, the successful candidate will lead initiatives related to model implementation and infrastructure development, supporting key decision-making processes across Corporate Treasury. Key responsibilities include the research, design, deployment, and maintenance of an efficient forecasting platform, along with the implementation and operationalization of advanced statistical models to support balance sheet forecasting and risk analytics.

About QFFP

QFFP is a team within Corporate Treasury in the CFO organization responsible for producing forecasts that are used in capital, liquidity, and interest rate risk measurement, as well as baseline financial planning. QFFP leverages proprietary quantitative methods and systems to simulate and forecast comprehensive balance sheet and income statement metrics under a wide array of hypothetical scenarios. The team regularly partners with other strategy and risk management groups, such as Asset Liability Management and Capital & Liquidity Risk Management, as well as the Finance Data team.

Core Competencies

Experience leading quantitative teams, strong understanding of predictive modeling techniques, and familiarity with balance sheet data at large regulated financial institutions.

Strong technology background including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools.

Exceptional communication skills and ability to drive transformation initiatives that span multiple teams and stakeholders.

A mindset for curiosity, collaboration, customer centricity, and risk management.

Basic Qualifications
- Bachelor's degree in a quantitative field, and eight or more years of relevant experience
OR
- MA/MS in a quantitative field, and five or more years of related experience
OR
- PhD in a quantitative field, and four or more years of related experience

Preferred Skills/Experience

Master's Degree or PhD in a quantitative field such as quantitative finance, engineering, data science, mathematics, or statistics.

4 or more years of experience in a leading role in model development/implementation, software engineering, or related area.

Strong familiarity with balance sheet modeling and cash flow forecasting.

Deep understanding of banking, financial metrics, and asset & liability management.

Knowledge of banking regulation and requirements for stress testing.

Experience working with QRM.

Excellent executive presence and verbal and written communication skills.

Ability to build strong relationships with a wide range of individuals from finance, risk, model validation, technology, and regulators.

Strong analytical and problem solving skills, coupled with thoroughness and attention to detail.

Ability to prioritize work, meet deadlines, work under pressure and independently while balancing multiple priorities in a dynamic and complex environment.

Strong analytical, organizational, problem-solving, and project-management skills.

Experience working with large datasets and building or validating advanced statistical models (including regression and economic factor models)

Extensive programming experience in Python, familiar with profiling and performance optimization techniques.

Experience with MS Word, Excel, and PowerPoint.

Relational databases, SQL query optimization.

Code management and version control using Git.

Cloud-based solution deployment (AWS or Azure) and containerization/orchestration tools (e.g. Docker, Kubernetes).

Al/ML and GenAI approaches.

Microsoft Power Automate/ Power Apps.

PowerBI or other visualization dashboards.

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

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: $119,765.00 - $140,900.00

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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