Fraud AI Strategy & Enablement Analyst

U.S. Bank National Association • Minneapolis, MN

1d • 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
The Fraud AI/ML Strategy & Enablement Analyst is responsible for supporting the definition, analysis, and delivery of enterprise fraud AI initiatives to drive measurable fraud risk reduction, efficiency gains, and improved customer outcomes. The role contributes hands‑on analytical expertise across AI‑enabled fraud use cases, ensuring initiatives are analytically sound, well‑governed, and aligned to enterprise fraud strategy and regulatory expectations.

This role serves as a key execution and coordination contributor for fraud AI initiatives, working in close partnership with internal fraud strategy teams, the AI Center of Excellence (AI CoE), technology partners, and third‑party vendors. The Fraud AI/ML Strategy & Enablement Analyst supports disciplined delivery and transparent reporting across the AI lifecycle—including problem framing, use‑case sizing, feature and data analysis, model development and testing support, deployment readiness, and value measurement. All responsibilities are carried out in accordance with company data governance, privacy, and regulatory requirements, reinforcing organizational integrity and resilience.

Requirements

• Bachelor’s degree in a quantitative field, and eight or more years of relevant experience
• MA/MS in a quantitative field, and five or more years of related experience
• PhD in a quantitative field, and four or more years of related experience

Nice To Haves

• Advanced knowledge of various regression techniques, parametric and non-parametric algorithms, times 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

Responsibilities

• 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 (excluding reporting team initiatives that are not AI enabled and efforts supported by either the Fraud Innovation & Consulting team or Model Ownership team).
• 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.
• 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.

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
• Number of Employees: 501-1,000 employees