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Quantitative Risk Analyst Jobs in Minnesota (NOW HIRING)

... another quantitative field. Extensive data analytics experience in fraud analytics, fraud ... risk management, financial services, cybersecurity, or a related field, and experience translating ...

... another quantitative field. • Extensive data analytics experience in fraud analytics, fraud ... risk management, financial services, cybersecurity, or a related field, and experience translating ...

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies ... Bachelor's degree in Quantitative field; Master's degree a plus This role requires working from a U.

Quantitative Model Analyst 2

Hopkins, MN · On-site

$92K - $109K/yr

... qualitative analysis skills - Basic knowledge of the quantitative and qualitative risk factors ... risk management approaches - Basic knowledge of applicable regulatory rules, guidance, or ...

... analysis skills - Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches - Thorough knowledge of applicable regulatory ...

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Showing results 1-20

Quantitative Risk Analyst information

See Minnesota salary details

$55.3K

$131.1K

$235.1K

How much do quantitative risk analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative risk analyst in Minnesota is $131,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.

What are the key skills and qualifications needed to thrive as a quantitative risk analyst?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What are some common challenges a quantitative risk analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Minnesota?

The most popular types of Quantitative Risk Analyst jobs in Minnesota are:

What are popular job titles related to Quantitative Risk Analyst jobs in Minnesota?

For Quantitative Risk Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Analyst jobs in Minnesota look for?

The top searched job categories for Quantitative Risk Analyst jobs in Minnesota are:

Infographic showing various Quantitative Risk Analyst job openings in Minnesota as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 76% In-person, 10% Hybrid, and 14% Remote job distribution, with an average salary of $131,121 per year, or $63 per hour.

Fraud Risk Analyst

US Bank

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 171 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

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

The Fraud Risk Analyst develops data-driven insights and strategies that strengthen fraud prevention, detection, and operational performance across deposits, payments, digital, authentication, and the end-to-end account lifecycle. This role combines advanced analytics, strategic problem-solving, and cross-functional collaboration to identify emerging fraud risks, uncover root causes, and support proactive loss mitigation.

The analyst works with a broad range of internal stakeholders and external partners to evaluate tools, data sources, and capabilities that enhance fraud detection and decisioning. By translating complex analytical findings into executive-ready insights and cost-benefit assessments, the role informs strategic decision-making while balancing fraud risk reduction, customer experience, operational efficiency, and financial impact.

Key Responsibilities

Analyze complex, multi channel fraud trends and performance data to identify emerging risks, root causes, and opportunities for proactive loss mitigation across the account lifecycle.

Develop data driven insights and strategic recommendations that strengthen fraud prevention and detection while balancing risk, customer experience, and operational efficiency.

Collaborate with a broad range of internal stakeholders and external partners to evaluate new and existing tools, data sources, and capabilities that enhance fraud detection and decisioning.

Translate complex analytical findings into clear, executive ready insights that inform enterprise fraud strategy, prioritization, and decision making.

Evaluate the effectiveness of fraud controls and initiatives using key metrics, scenario analysis, and model adjacent analytics; identify control gaps and recommend targeted enhancements.

Drive value led prioritization through cost benefit analysis, focusing resources on initiatives that deliver the greatest fraud risk reduction and business value while adhering to regulatory and internal control requirements.

Develop recurring analytics, performance assessments, and recommendations that measure fraud-control effectiveness, authentication performance, fraud trends, and operational outcomes.

Evaluate authentication strategies, fraud-detection rules, and contact-center fraud controls through data-driven analysis to identify performance gaps and optimization opportunities.

Support testing, implementation reviews, and post-implementation assessments of fraud-control enhancements, rule changes, and decisioning strategies.

Develop presentations, analytical summaries, and supporting materials for leadership discussions and monthly business reviews (MBRs), translating complex findings into actionable insights.

Additional Expectations

Utilize approved analytics, AI, and technology solutions while applying appropriate judgment and validation of results.

Demonstrate strong written, verbal, and presentation communication skills.

Effectively translate complex analytical findings into clear and actionable insights.

Manage multiple assignments and priorities while meeting established deadlines.

Basic Qualifications

Bachelor's degree or equivalent work experience.
Typically more than six years of applicable experience

Required Programming Experience

Six or more years of hands-on SAS programming experience is required. Experience with SQL, Python, and other analytical tools is preferred.

Preferred Skills/Experience

Bachelor's degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field.

Extensive data analytics experience in fraud analytics, fraud prevention, risk management, financial services, cybersecurity, or a related field, and experience translating findings into business recommendations.

Knowledge of financial services products, systems, and data, preferably within the fraud domain.

Proficient computer skills, especially Microsoft Office applications and data analysis software.

Experience developing analytics, performance assessments, presentations, and recommendations that support business decision-making.

Excellent presentation, interpersonal, written, and verbal communication skills.

Exceptional problem solving, critical thinking, and troubleshooting skills.

Ability to prioritize and manage multiple tasks while establishing responsible deadlines.

Flexibility in day-to-day work and tolerance for ambiguity.

Positive 'can-do' attitude and a strong desire to continue to learn and ask questions.

The ability to work well in a team environment.

Ability to build relationships cross-functionally and over the phone.

Ability to work with and influence at all levels of the organization, including senior leadership.

Understanding of fraud schemes, digital identity, authentication, and operational fraud processes.

Experience evaluating fraud-control effectiveness, fraud-detection strategies, authentication approaches, and fraud-prevention capabilities through data-driven analysis.

Experience supporting contact-center fraud controls, authentication strategies, and fraud-rule performance assessments.

Ability to translate analytical findings into clear business recommendations and presentations for leadership audiences.

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: $105,400.00 - $124,000.00

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.


What U.S. Bank employees say

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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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