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Fraud Analytics Jobs in Minnesota (NOW HIRING)

Incorporate AIdriven analytics, automation, and visualization tools to support innovation, strategy ... Strong background in fraud analytics and rule development, with demonstrated ability to identify ...

Analyze case details to determine methodology of each fraud scheme to identify gaps * Create and maintain cases in Insight, Verafin and other applicable systems to better track, manage and prevent ...

Fraud Analyst

Saint Paul, MN · On-site

$25.20 - $29.50/hr

Analyze case details to determine methodology of each fraud scheme to identify gaps * Create and maintain cases in Insight, Verafin and other applicable systems to better track, manage and prevent ...

Fraud Analyst

Falcon Heights, MN · On-site

$25.20 - $29.50/hr

Analyze case details to determine methodology of each fraud scheme to identify gaps * Create and maintain cases in Insight, Verafin and other applicable systems to better track, manage and prevent ...

Translate complex, execution-level analytics into actionable insights and recommendations, enabling stakeholders to improve decisioning outcomes and workflow efficiency. * Partner with Fraud ...

Translate complex, execution-level analytics into actionable insights and recommendations, enabling stakeholders to improve decisioning outcomes and workflow efficiency. * Partner with Fraud ...

Fraud Risk Analyst

Minneapolis, MN · On-site

$92K - $109K/yr

Develops and maintains the analytical framework and support systems for the fraud claim management and reporting processes. Design, implement, and monitor fraud detection rules Basic Qualifications ...

Data Analyst

South Haven, MN · On-site

$22 - $27/hr

... analytics, suspected fraud review, and anti-fraud principles. • Ability to assess large datasets, detect irregular patterns, and draw well-supported conclusions. • Familiarity with fraud ...

Fraud Investigator

Maplewood, MN · On-site

$145K - $178K/yr

Fraud Investigator Collaborate with Innovative 3Mers Around the World Choosing where to start and ... Gathering and analyzing relevant financial data or other documentation. * Independently conducting ...

Fraud Investigator

Maplewood, MN · On-site

$145K - $178K/yr

Fraud Investigator Collaborate with Innovative 3Mers Around the World Choosing where to start and ... Gathering and analyzing relevant financial data or other documentation. * Independently conducting ...

Fraud Risk Analyst

Minneapolis, MN · On-site

$92K - $109K/yr

Develops and maintains the analytical framework and support systems for the fraud claim management and reporting processes. Design, implement, and monitor fraud detection rules Basic Qualifications ...

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

Fraud analytics experience is a plus. Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

Impact The Shipt Cyber Fraud team is responsible for ensuring that as we grow, every customer ... Strong skills in data storage, retrieval, and analysis using PostgreSQL and Snowflake * Proven ...

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Showing results 1-20

Fraud Analytics information

See Minnesota salary details

$15

$30

$62

How much do fraud analytics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for fraud analytics in Minnesota is $30.05, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $33.17 per hour, depending on experience, location, and employer.

How does a Fraud Analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What does a fraud analyst do?

A fraud analyst investigates and detects fraudulent activities by analyzing transaction data, patterns, and behaviors to identify potential scams or security breaches. They use tools like data analysis software and may collaborate with law enforcement or financial institutions to prevent losses and improve fraud detection systems.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

How much do fraud analysts earn?

Fraud analysts typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level roles may start around $45,000, while experienced analysts with certifications can earn over $90,000. The role often requires skills in data analysis, fraud detection tools, and knowledge of financial regulations.

What are the key skills and qualifications needed to thrive as a Fraud Analytics professional, and why are they important?

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

What does a fraud analyst make?

A fraud analyst typically earns a median annual salary ranging from $50,000 to $80,000, depending on experience, location, and industry. They analyze transaction data, use fraud detection tools, and may hold certifications like Certified Fraud Examiner (CFE) to identify and prevent fraudulent activities.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The career can be stable and rewarding for those interested in security and data-driven decision making.
What are the most commonly searched types of Fraud Analytics jobs in Minnesota? The most popular types of Fraud Analytics jobs in Minnesota are:
What are popular job titles related to Fraud Analytics jobs in Minnesota? For Fraud Analytics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Fraud Analytics jobs in Minnesota look for? The top searched job categories for Fraud Analytics jobs in Minnesota are:
Fraud Risk Analyst

Fraud Risk Analyst

US Bank

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 356 frontline employees who took The Breakroom Quiz

44th of 149 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.

We are hiring for an exciting opportunity as a Fraud Risk Analyst 4 within U.S. Bancorp's Quantitative Fraud Strategy team. In this role, you will play a critical part in analyzing complex data and developing rules that effectively mitigate fraudulent transactions. Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends, develop rules, and implement proven strategies within our fraud detection systems. Collaboration is key-you will work closely with business partners to quantify the impact of rule changes, identify opportunities for enhancement, and communicate essential information about the products we monitor.
The ideal candidate is passionate about protecting customers, thrives in a fast-paced environment, and brings creativity to identifying fraud patterns and shaping effective rule strategies. Operating with a high degree of independence and receiving guidance from management as needed, this role focuses on building and implementing rule strategy that strengthens U.S. Bancorp's ability to prevent and detect fraud across digital channels and money movement products.
You will evaluate emerging fraud trends, assess the performance and efficiency of existing rules, and recommend targeted improvements that enhance fraud mitigation effectiveness while maintaining a balanced customer experience. As a self-starter and collaborative contributor, you will work closely with teams across and beyond the Quantitative Fraud Strategy organization to develop sustainable strategies, share insights, and support rule development across key areas including First Party Fraud, Third Party Fraud, Account Takeover, Scam, and ID Theft scenarios. This role emphasizes analytical skills, effective decision-making, and the ability to deliver clear, actionable recommendations informed by a strong understanding of rule strategy, operational considerations, and strategic priorities.

Primary Responsibilities

  • Develop, implement, and continuously refine fraud rule strategies that leverage departmental data, balancing fraud mitigation, customer experience, performance targets, and alignment with organizational priorities

  • Analyze large, complex datasets to identify emerging fraud trends, performance shifts, and strategic opportunities that inform rule development and refinement

  • Translate analytical findings into clear, actionable recommendations and communicate strategy updates, rule performance insights, and business impacts to management, partners, and key stakeholders

  • Monitor and evaluate rule performance on an ongoing basis, detecting anomalies, validating thresholds, and proactively identifying opportunities to strengthen existing strategies and processes

  • Incorporate AIdriven analytics, automation, and visualization tools to support innovation, strategy optimization, and improve efficiency across rule development and performance monitoring

  • Collaborate closely with operations, technology, risk management, and crossfunctional teams to validate rule effectiveness, conduct rootcause analysis, and ensure alignment with compliance and governance standards

Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Typically more than six years of applicable experience

Preferred Skills/Experience

  • Strong background in fraud analytics and rule development, with demonstrated ability to identify emerging fraud trends and translate findings into effective rule changes

  • Proficiency with analytical tools such as SQL, SAS, and Python

  • Experience working in large datasets to support strategy testing, treatment analysis, and performance evaluation

  • Comprehensive knowledge of bank systems and fraud detection platforms (Actimize), along with familiarity in online banking and financial products such as ACH, wires, digital payments, and other electronic transfers

  • Thorough understanding of fraud typologies, operational processes, and risk-mitigation frameworks, with experience supporting advanced fraud strategy development

  • Effective written and verbal communication skills, with the ability to simplify complex analytical concepts and present clear, actionable recommendations to business partners and senior leadership

  • Ability to manage multiple priorities in a fastmoving environment, demonstrating strong organizational skills, attention to detail, and effective decision-making

  • Commitment to compliance, internal controls, and ethical use of technology, including responsible use of approved AI tools to enhance accuracy, efficiency, and productivity

  • Proficient computer navigation skills, including Microsoft Office and data analysis software

  • Experience within fraud strategy related to online banking and digital payments preferred

  • Bachelor's degree in Quantitative field; Master's degree a plus

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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