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Quantitative Analyst Jobs in Minnesota (NOW HIRING)

Key Responsibilities Strategic Support & Execution • Analyze quantitative inputs such as financial results, trends, market data, and operational metrics and translate into clear storylines ...

Key Responsibilities Strategic Support & Execution Analyze quantitative inputs such as financial results, trends, market data, and operational metrics and translate into clear storylines ...

Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) * Strong proficiency in SQL and/or experience using Python for analysis (3+ ...

Quantitative Modeler Manager - AML

Minneapolis, MN · On-site

$57.25 - $74/hr

This individual will have proven capabilities driving analytical projects that require ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

Showing results 21-40

Quantitative Analyst information

See Minnesota salary details

$55.3K

$131.1K

$235.1K

How much do quantitative analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantitative 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 analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.

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

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

What cities in Minnesota are hiring for Quantitative Analyst jobs?

Cities in Minnesota with the most Quantitative Analyst job openings:

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

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

Infographic showing various Quantitative Analyst job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $131,121 per year, or $63 per hour.

Authentication Fraud Strategy Analyst

US Bank

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

66th of 175 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

The Authentication Fraud Strategy Analyst is responsible for analyzing, developing, and optimizing enterprise authentication fraud strategies that protect customers, reduce fraud losses, and deliver a seamless digital experience. This role leverages advanced analytics, fraud intelligence, and customer behavior insights to evaluate authentication performance, identify emerging risks, and recommend strategic enhancements across authentication controls, models, and vendor solutions.

As a key member of the Authentication Fraud Strategy team, the analyst partners with Fraud Strategy, Digital, Operations, Technology, Risk, and external vendors to drive data-driven decision making, support strategic initiatives, and enhance authentication effectiveness across the customer journey. The role translates complex analytical findings into actionable business recommendations, balancing fraud risk mitigation, customer experience, operational efficiency, and enterprise governance objectives.

The ideal candidate is a highly analytical problem solver with experience in fraud analytics, authentication, identity risk, or digital fraud prevention who can independently lead complex analyses and influence strategic outcomes across the organization.

Key Responsibilities

  • Lead the analysis, development, and optimization of enterprise authentication fraud strategies to reduce fraud losses while delivering a seamless customer experience.
  • Analyze authentication performance, fraud outcomes, customer journeys, and control effectiveness to identify risks, trends, and opportunities for improvement.
  • Conduct complex root-cause analyses of authentication failures, account takeover events, fraud losses, customer friction, and emerging fraud threats to drive strategic recommendations.
  • Develop and maintain analytical frameworks, performance metrics, and monitoring capabilities to measure authentication effectiveness, fraud prevention outcomes, and customer impact.
  • Partner with Fraud Strategy, Digital, Operations, Technology, Risk, and Product teams to prioritize, execute, and evaluate authentication initiatives and strategic enhancements.
  • Collaborate with model development, model ownership, model governance, and validation teams to support authentication model performance assessments, feature analysis, implementation readiness, and ongoing monitoring.
  • Evaluate third-party vendors, authentication solutions, fraud tools, and identity verification capabilities, providing data-driven recommendations on effectiveness, value, customer impact, and strategic fit.
  • Identify, quantify, and prioritize opportunities to improve fraud detection, reduce customer friction, enhance authentication accuracy, and optimize operational performance.
  • Translate complex analytical findings into clear, actionable, and executive-ready recommendations that support strategic decision-making and investment prioritization.
  • Monitor emerging fraud trends, authentication risks, industry developments, and evolving customer behaviors to identify new threats and opportunities for innovation.
  • Ensure analytical rigor and compliance with enterprise governance, privacy, model risk management, regulatory requirements, and data quality standards.
  • Lead and influence cross-functional initiatives by serving as a trusted advisor and subject matter expert on authentication fraud risk, authentication strategy, vendor capabilities, and fraud analytics, driving measurable business outcomes across the enterprise.
Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Typically more than eight years of applicable experience
Preferred Skills/Experience

-Strong problem-solving skills and ability to find solutions independently

-Expert quantitative analytical skills with commensurate ability to summarize and present insights to leaders

-5+ years SQL and/or SAS experience; R / Python a plus

-5+ years business intelligence analysis within banking, financial services, or related industry

-Proficient understanding of fraud, authentication, identity validation or other aspects of risk management

-Excellent presentation, interpersonal, written and verbal communication skills

-Enthusiasm for solving complex problems that mitigate fraud risk while delivering a seamless customer experience

This role requires adept quantitative analytical skills, along with a team-first approach and keen ability to develop strong working partnerships with internal and external stakeholders, highly effective communication skills with senior-level colleagues and management and the ability to work independently with a strong bias towards action and problem-solving.

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: $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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