Fraud Strategy Data Analyst

Jobtailor; Arizona; On-site; USD 110,000 - 160,000; Full time

Job summary

U.S. Bank in Arizona is seeking an experienced Fraud Data Analyst to extract, transform, and analyze large-scale fraud data using SAS, SQL, Python, and related analytical tools.

You will evaluate fraud decisioning performance, alert effectiveness, decision outcomes, and workflow dynamics, and develop dashboards and executive-ready insights to guide risk decisions and improve operational efficiency.

Qualifications

• Bachelor’s degree or equivalent work experience required.
• 8+ years of applicable fraud analytics or risk management experience.
• Deep knowledge of fraud risk, operations management, and product lines.
• Strong analytical and forecasting abilities for fraud loss trends.

Responsibilities

• Extract, transform, and analyze large-scale fraud data using SAS, SQL, and Python.
• Evaluate fraud decisioning performance, alert effectiveness, and outcomes.
• Develop performance metrics, dashboards, and executive-level insights.
• Collaborate with cross-functional teams across Fraud Strategy and AI initiatives.

Skills

Analytical Skills

Effective Communication

Team Collaboration

Problem-Solving

Project Management

Education

Bachelor’s degree or equivalent

Tools

SAS

SQL

Python

Microsoft Office

Data Analysis Software

AI-Enabled Productivity Tools

Job description

• Extract, transform, and analyze large-scale fraud data using SAS, SQL, Python, and related analytical tools


• Analyze enterprise fraud performance across deposits, digital, payments, authentication, and account lifecycle domains


• Evaluate fraud decisioning performance, alert effectiveness, decision outcomes, false positives, workflow execution, and queue dynamics


• Assess end-to-end fraud operations, including alert lifecycle performance, queue throughput, review capacity, case-handling efficiency, and workload distribution


• Develop and apply fraud tradeoff, loss avoidance, and performance measurement frameworks


• Engineer, maintain, and enhance methodologies measuring fraud benefit, losses avoided, operational costs, customer friction, false positives, and business impact


• Conduct advanced and ad hoc analytics, root-cause investigations, and performance assessments


• Monitor fraud trends, alert behavior, decision outcomes, operational performance, anomalies, and control effectiveness


• Quantify benefits, costs, risks, operational impacts, and tradeoffs for fraud initiatives, tools, models, and enhancements


• Partner with Fraud Strategy, Fraud Mitigation Solutions, Risk, Operations, Digital, Technology, and AI/ML teams


• Support predictive fraud, AI, and analytics initiatives through performance assessment and benefit tracking


• Develop and maintain performance metrics, dashboards, reporting frameworks, and executive-level insights


• Translate complex analytical findings into actionable, executive-ready recommendations


• Validate assumptions, strengthen measurement frameworks, and deliver decision-ready insights


• Use approved AI-enabled productivity tools responsibly and in compliance with company policies


• Develop and deliver data-driven insights and narratives


• Maintain regulatory compliance, internal controls, and risk management standards

Requirements

• Bachelor’s degree, or equivalent work experience


• Typically more than eight years of applicable experience


• Comprehensive knowledge of all departmental data sources and fraud risk and operations management associated with the product lines


• Strong analytical skills for evaluating fraud prevention infrastructure and forecasting fraud loss trends


• Strong project management skills


• Effective verbal and written communication skills


• Proficient computer navigation skills using Microsoft Office applications and data analysis software


• Must work from a U.S. Bank location three or more days per week


• Not eligible for current or future visa sponsorship


• Ability to comply with U.S. Bank policies and procedures, including the Code of Ethics and Business Conduct and workplace conduct and safety policies

Core Competencies

Expertise in fraud data analysis and performance measurement, utilizing SAS, SQL, and Python to drive actionable insights and enhance fraud prevention strategies. Strong project management and communication skills to collaborate effectively with cross-functional teams and deliver executive-level recommendations.

Highest-signal resume keywords

• SAS Data Analysis


• SQL Querying


• Python Programming


• Fraud Risk Management


• Project Management

Hard Skills

• Data Extraction


• Data Transformation


• Fraud Performance Analysis


• Performance Metrics Development


• Ad Hoc Analytics


• Root-Cause Investigation


• Operational Performance Monitoring


• Fraud Decisioning Evaluation


• Loss Avoidance Frameworks


• Regulatory Compliance

Soft Skills

• Analytical Skills


• Effective Communication


• Team Collaboration


• Problem-Solving


• Project Management

Industry Keywords

• Fraud Prevention


• Risk Management


• Operational Efficiency


• Alert Lifecycle Performance


• Customer Friction

Tools & Technologies

• Microsoft Office


• Data Analysis Software


• AI-Enabled Productivity Tools