Fraud Risk Analyst - Quantitative Fraud Strategy

US Bank • Minneapolis, MN

29d • Onsite

About The Position

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 We are hiring for an exciting opportunity as a Fraud Risk Analyst 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 a deep understanding of fraud risk and advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends, validate theoretical findings, 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 responding to ad-hoc requests from senior leadership, and brings creativity to building strategies that give U.S. Bancorp a competitive edge in fraud prevention. You will independently assess efficiency methodologies, replicate best practices across multiple groups, and deliver clear, data-driven presentations to senior leadership. Additional responsibilities include spike and anomaly reporting, evaluating the value of fraud tools, and proactively identifying and prioritizing key issues and opportunities. You will partner with leadership to develop strategies that capitalize on these opportunities while continually scanning the environment for trends, innovations, and technologies that impact the business. As a self-starter and collaborative leader, you will guide cross-functional teams of subject matter experts to design sustainable fraud initiatives aligned with stakeholder priorities. This role demands strategic thinking, technical expertise, and a commitment to safeguarding our customers across First Party, Third Party, Account Takeover, and Account Origination scenarios.

Requirements

• Bachelor's degree, or equivalent work experience
• Typically more than eight years of applicable experience

Nice To Haves

• Strong background in fraud analytics, rule performance measurement, and statistical modeling
• Expertise in data visualization tools and storytelling principles
• Familiarity with AI applications in fraud detection and reporting
• Excellent communication skills-able to simplify complex data for non-technical audiences
• Commitment to compliance, ethics, and brand standards
• Proven experience using decision trees, advanced strategy development, performance assessments, and treatment analysis
• Advanced skills with data analysis tools such as SQL, SAS, and/or Python
• Comprehensive knowledge of bank systems, fraud detection systems (Actimize), and financial products including ACH transactions, wires, checks, digital payments, and other electronic transfers
• Thorough knowledge of fraud, strategic planning, and banking operations
• Strong analytical skills relative to evaluating fraud prevention infrastructure and forecasting fraud loss trends
• Strong project management skills
• Analytical abilities and financial acumen-systematic application of inductive and deductive reasoning to examine information, interpret results, and arrive at well-founded logical conclusions
• Excellent written and verbal communication skills
• Demonstrated independence, teamwork, and leadership skills
• Ability to prioritize and manage multiple tasks, while establishing responsible deadlines
• Proficient computer navigation skills using a variety of software packages including Microsoft Office applications and data analysis software
• Master's degree preferred

Responsibilities

• Conduct deep-dive analysis of fraud detection rules, identifying trends, anomalies, and optimization opportunities.
• Translate analytical findings into actionable insights through compelling data stories using dashboards, visualizations, and presentations tailored for diverse audiences, including senior leadership, and second line of defense teams.
• Apply best practices in storytelling frameworks and design principles to ensure clarity and impact.
• Maintain ethical representation of data by avoiding bias, cherry-picking, or misleading visuals, and adhering to U.S. Bank ethics and brand standards.
• Incorporate AI-driven analytics and visualization tools to enhance productivity and insight generation.
• Collaborate across fraud strategy, risk management, and technology teams to align insights with business objectives and compliance requirements.
• Promote data literacy by advocating for data-driven decision-making and coaching team members on storytelling techniques and visualization best practices.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Number of Employees: 5,001-10,000 employees