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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 AI‑driven 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 cross‑functional teams to validate rule effectiveness, conduct root‑cause 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 fast‑moving 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 our disability 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 the E-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.