Fraud Detection Business Analyst Jobs (NOW HIRING)

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.

NOTE: Advanced SAS programming and advanced analytics experience is required for this position.

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

Job Description

The Fraud Risk Analyst applies advanced analytics to evaluate fraud strategies, fraud controls, authentication solutions, and fraud-prevention capabilities across deposits, payments, digital channels, and the account lifecycle. The role focuses on identifying fraud risk, quantifying business impact, measuring control effectiveness, and developing data-driven recommendations that influence fraud strategy and business decisions.

This is an analytics-focused position. The successful candidate will independently perform data analysis from problem definition through recommendation development. The role is not primarily focused on reporting, dashboard production, or routine data requests. Success in this position requires identifying business problems, developing analytical approaches, quantifying business impact, and influencing fraud strategy through data-driven recommendations.

The analyst works with 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 fraud loss reduction across the account lifecycle.
• Independently develop analytical approaches and recommendations that address fraud risks, control effectiveness, and business priorities.
• Develop data-driven insights and strategic recommendations that strengthen fraud prevention and detection while balancing fraud risk, customer experience, and operational efficiency.
• Evaluate fraud controls, authentication strategies, fraud-detection rules, and fraud-prevention capabilities through quantitative analysis to identify performance gaps and optimization opportunities.
• Measure and quantify business impact, including fraud loss reduction opportunities, customer experience outcomes, operational efficiency improvements, and return on investment.
• Develop business cases and cost-benefit analyses that support fraud strategy, prioritization, and investment decisions.
• Translate complex analytical findings into executive-ready insights and recommendations that influence fraud strategy and business decisions.
• Collaborate with internal stakeholders and external partners to evaluate fraud tools, data sources, and capabilities that enhance fraud detection and decisioning.

Basic Qualifications

• Bachelor's degree or equivalent work experience.
• Six or more years of relevant analytics experience.

Required Analytics Experience

Six or more years of advanced SAS programming and analytics experience is required. Experience evaluating fraud strategies, fraud controls, authentication solutions, and fraud-prevention capabilities through quantitative analysis is strongly preferred. Candidates should be capable of independently performing analytics from problem definition through recommendation development and translating findings into business recommendations and executive-ready insights.

SQL experience is strongly preferred.

Python experience is preferred.

Preferred Skills/Experience

• Bachelor's degree in Business, Finance, Computer Science, Business Analytics, Statistics, Mathematics, Economics, or another quantitative field.
• Extensive analytics experience in fraud analytics, fraud prevention, risk management, financial services, cybersecurity, or a related field.
• Experience independently identifying business problems, developing analytical approaches, and translating findings into business recommendations.
• Experience evaluating fraud strategies, fraud controls, authentication solutions, and fraud-detection tools through quantitative analysis.
• Experience developing business cases that quantify fraud loss reduction, customer impact, operational efficiency improvements, and financial benefit.
• Knowledge of financial services products, systems, and data, preferably within the fraud domain.
• Strong problem-solving, critical-thinking, and analytical reasoning skills.
• 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.

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:

• 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.