Job DescriptionThe Fraud Strategy Data Analyst provides enterprise-level analytical insight into fraud decisioning performance, fraud risk reduction, customer experience, operational efficiency, and financial outcomes across deposits, digital, payments, authentication, and the end-to-end account lifecycle. Through advanced, data-driven analysis, this role evaluates alert performance, decision accuracy, queue dynamics, loss drivers, customer friction points, operational inefficiencies, and emerging fraud risks to identify opportunities that improve fraud outcomes and business performance.
By developing and applying consistent fraud tradeoff, loss avoidance, and decisioning performance frameworks, the analyst translates complex analytics into actionable, decision-ready insights that enable leadership to optimize fraud controls, improve detection effectiveness, reduce customer friction, enhance workload management, and prioritize investments based on measurable enterprise impact. The role does not design or implement fraud rules or strategies but provides the analytical foundation that informs enhancements to fraud decisioning, mitigation processes, and enterprise fraud initiatives through close partnership with Fraud Strategy, Risk, Operations, Digital, Technology, and AI/ML teams.
Key Responsibilities:- Leverage advanced technical proficiency in SAS/SQL/Python, and related analytical tools to extract, transform, and analyze large-scale fraud data, delivering scalable, data-driven insights that support fraud decisioning, tradeoff analysis, performance measurement, and strategic business decision-making.
- Analyze enterprise fraud performance across deposits, digital, payments, authentication, and account lifecycle domains to identify material loss drivers, customer friction, operational impacts, emerging risks, and opportunities to improve fraud outcomes.
- Evaluate fraud decisioning performance, alert effectiveness, decision outcomes, false positive rates, workflow execution, and queue dynamics to identify performance gaps, inefficiencies, and optimization opportunities.
- Assess end-to-end fraud operations, including alert lifecycle performance, queue throughput, review capacity, case-handling efficiency, and workload distribution to improve operational effectiveness and scalability.
- Develop and apply fraud tradeoff, loss avoidance, and performance measurement frameworks that quantify the impact of fraud controls across fraud loss reduction, customer experience, operational efficiency, and financial outcomes.
- Engineer, maintain, and enhance methodologies for measuring fraud benefit, losses avoided, operational costs, customer friction, false positives, and overall business impact using transparent, audit-ready approaches.
- Conduct advanced and ad hoc analytics, root-cause investigations, and performance assessments to evaluate fraud controls, identify emerging threats, uncover inefficiencies, and support optimization or decommissioning decisions.
- Monitor fraud trends, alert behavior, decision outcomes, and operational performance to identify emerging risks, changing fraud patterns, anomalies, and degradation in control effectiveness.
- Quantify expected benefits, costs, risks, operational impacts, and tradeoffs associated with fraud initiatives, tools, models, and strategic enhancements to support investment prioritization and business case development.
- Partner with Fraud Strategy, Fraud Mitigation Solutions (FMS), Risk, Operations, Digital, Technology, and AI/ML teams to align priorities, evaluate performance, validate findings, and drive measurable fraud and business outcomes.
- Support predictive fraud, AI, and analytics initiatives through performance assessment, value measurement, operational impact analysis, and ongoing benefit tracking.
- Develop and maintain performance metrics, dashboards, reporting frameworks, and executive-level insights that provide transparent visibility into fraud outcomes, decisioning effectiveness, operational efficiency, and business impact.
- Translate complex analytical findings into clear, actionable, and executive-ready recommendations that inform strategy, investment decisions, operational improvements, and continuous enhancement efforts.
- Ensure analytical rigor, data integrity, and methodological consistency by validating assumptions, strengthening measurement frameworks, and delivering decision-ready insights that can be confidently used by leadership and governance forums.
Additional Expectations
- Leverage approved AI-enabled productivity tools to improve efficiency, quality, and effectiveness of work outputs, applying sound judgment to validate results and ensure responsible, compliant use in accordance with company policies.
- Develops and delivers data-driven insights and narratives to inform decision-making and support business objectives.
- Perform additional duties and assume evolving responsibilities as needed to support changing business priorities, organizational needs, and strategic objectives.
- Maintain a strong commitment to regulatory compliance, internal controls, and risk management standards by adhering to applicable laws, policies, and procedures. The Fraud Strategy Data Analyst provides enterprise-level analytical insight into fraud decisioning performance, fraud risk reduction, customer experience, operational efficiency, and financial outcomes across deposits, digital, payments, authentication, and the end-to-end account lifecycle. Through advanced, data-driven analysis, this role evaluates alert performance, decision accuracy, queue dynamics, loss drivers, customer friction points, operational inefficiencies, and emerging fraud risks to identify opportunities that improve fraud outcomes and business performance.
Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Typically more than eight years of applicable experience
Preferred Skills/Experience
- Comprehensive knowledge of all departmental data sources, and of fraud risk and operations management associated with the product lines
- Strong analytical skills relative to evaluating fraud prevention infrastructure and forecasting fraud loss trends
- Strong project management skills
- Effective verbal and written communication skills
- Proficient computer navigation skills using a variety of software packages including Microsoft Office applications and data analysis software
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.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.
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: $108,375.00 - $127,500.00
Posting may be closed earlier due to high volume of applicants. 
