Fraud AI Strategy & Enablement Analyst

U.S. Bank

. Lead the analysis, design, and delivery of high-impact AI-enabled fraud use cases, partnering with internal teams, the AI CoE, and vendors to drive measurable outcomes across the fraud portfolio .

Posted 5/5/2026full-timeArizona, Minnesota, North Carolina, North Dakota, Ohio • 🇺🇸 United StatesSeniorLead💰 $119,765 - $140,900 per yearWebsite

About the role

Key responsibilities & impact

Lead the analysis, design, and delivery of high-impact AI-enabled fraud use cases, partnering with internal teams, the AI CoE, and vendors to drive measurable outcomes across the fraud portfolio
Supports AI-enabled fraud use cases and model-adjacent analytics through internal development efforts, AI CoE partnerships, and vendor solutions, contributing analytical execution, cross-team coordination, and delivery support
Drive analytics-led problem framing across the full model lifecycle, including use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are well-scoped, analytically sound, and value-accretive
Serve as a trusted advisor and point of coordination for AI and machine learning use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry
Support delivery rigor by coordinating milestones, dependencies, and priorities, proactively identifying risks and escalation needs across internal teams, AI CoE efforts, and vendor engagements
Assess vendor solutions and performance through an analytical lens, evaluating effectiveness, overlap, and realized value relative to cost, risk-reduction objectives, and enterprise priorities
Maintain strong cross-functional partnerships with Fraud Strategy, Operations, Digital, Risk, and Technology teams, contributing analytical insights to identify fraud gaps, emerging threats, and new use-case opportunities
Translate complex analytical findings into clear, executive-ready narratives, articulating implications for fraud loss reduction, operational efficiency, and customer experience
Provide consistent analytical updates and insights to senior leaders and governance forums, highlighting progress, risks, dependencies, and value delivered to support informed decision-making
Support executive and ad hoc strategic fraud analytics requests, delivering high-quality, timely insights to inform prioritization, governance discussions, and enterprise strategy
Evaluate modeling needs and constraints to inform sourcing recommendations, advising on when to pursue internal development versus AI CoE or vendor solutions based on risk, complexity, cost, expertise, and delivery timelines
Provide hands-on analytical leadership to support internal fraud model development, including problem definition, feature strategy, data readiness, validation alignment, and pre-production preparation, while adhering to governance and control standards

Requirements

What you’ll need

Bachelor’s degree in a quantitative field, and eight or more years of relevant experience OR
MA/MS in a quantitative field, and five or more years of related experience OR
PhD in a quantitative field, and four or more years of related experience
Advanced knowledge of various regression techniques, parametric and non-parametric algorithms, time series techniques, and other statistical models, various model validation tests/methodologies, using SAS or similar statistical package
Thorough data compilation, programming skills and qualitative analysis skills
Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
Advanced understanding of applicable regulatory rules, guidance, or supervisory letters
Ability to manage multiple tasks across various timelines
Strong analytical, organizational, problem-solving, negotiation, and project management skills
Demonstrated independence, teamwork and leadership skills
Effective interpersonal, verbal and written communication skills.

Benefits

Comp & perks

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

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-enabled fraud use casesmodel lifecycleregression techniquesparametric algorithmsnon-parametric algorithmstime series techniquesstatistical modelsSASdata compilationqualitative analysis

Soft Skills

analytical skillsorganizational skillsproblem-solving skillsnegotiation skillsproject management skillsindependenceteamworkleadership skillsinterpersonal skillscommunication skills