Fraud Strategic Data Analyst at U.S. Bancorp · Warsaw

Fraud Strategic Data Analyst Location: Warsaw, Poland 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, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive.   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. Try new things, learn new skills and discover what you excel at—all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation. We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do. Job Description The Fraud Strategic Data Analyst develops data‑driven insights and strategies that strengthen fraud prevention, detection, and operational performance across deposits, payments, digital, authentication, and the end‑to‑end account lifecycle. This role combines advanced analytics, strategic problem‑solving, and cross‑functional collaboration to identify emerging fraud risks, uncover root causes, and support proactive loss mitigation. The analyst works with a broad range of internal stakeholders and external partners to evaluate tools, data sources, and capabilities that enhance fraud detection and decisioning. By translating complex analytical findings into executive‑ready insights and cost‑benefit assessments, the role informs strategic decision‑making while balancing fraud risk reduction, customer experience, operational efficiency, and financial impact. Key Responsibilities Analyze complex, multi‑channel fraud trends and performance data to identify emerging risks, root causes, and opportunities for proactive loss mitigation across the account lifecycle. Develop data‑driven insights and strategic recommendations that strengthen fraud prevention and detection while balancing risk, customer experience, and operational efficiency. Collaborate with a broad range of internal stakeholders and external partners to evaluate new and existing tools, data sources, and capabilities that enhance fraud detection and decisioning. Partner with the AI Center of Excellence (AI CoE) and Technology teams to evaluate, prioritize, and assess AI‑enabled fraud use cases, ensuring alignment with fraud strategy, governance standards, and measurable business outcomes. Translate complex analytical findings into clear, executive‑ready insights that inform enterprise fraud strategy, prioritization, and decision‑making. Evaluate the effectiveness of fraud controls and initiatives using key metrics, scenario analysis, and model‑adjacent analytics; identify control gaps and recommend targeted enhancements. Drive value‑led prioritization through cost‑benefit analysis, focusing resources on initiatives that deliver the greatest fraud risk reduction and business value while adhering to regulatory and internal control requirements. Additional Expectations Utilize approved AI tools, analytics platforms, and digital solutions to improve efficiency, accuracy, and productivity, applying sound judgment to validate outputs and ensure responsible, ethical, and compliant use. Maintain a strong commitment to regulatory compliance, internal controls, and risk management standards by adhering to applicable laws, policies, and procedures. Basic Qualifications Bachelor's or Masters’ degree, or equivalent work experience Seven to ten years of experience in risk management activities Preferred Skills/Experience Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field SAS, SQL, R or Python experience Extensive data analytics experience preferably in the financial services industry Knowledge of financial services products, systems, and data preferably within the fraud domain Proficient computer skills, especially Microsoft Office applications and data analysis software Excellent presentation, interpersonal, written, and verbal communication skills Exceptional problem solving, critical thinking, and troubleshooting skills Ability to prioritize and manage multiple tasks, while establishing responsible deadlines Flexibility in day-to-day work and tolerance for ambiguity Positive ‘can-do’ attitude and a strong desire to continue to learn and ask questions The ability to work well in a team environment Ability to build relationships cross-functionally and over the phone Ability to work with and influence at all levels of the organization, including with senior leadership Deep understanding of fraud schemes, digital identity, authentication, and operational fraud processes Ability to translate analytical findings into clear business recommendations for senior leadership Experience supporting AI/ML‑driven fraud initiatives preferred This role requires working from a U.S. Bank location three (3) or more days per week. Accessibility We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support. Total Rewards U.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value. We offer a market-competitive compensation package that includes: Clearly defined salary ranges aligned with industry benchmarks and internal equity standards. Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance. Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness). Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria. Employee recognition programs that celebrate achievements and milestones for all. We regularly review our compensation and benefits to ensure they remain competitive, inclusive, and responsive to employee needs and market trends. Further details of the compensation package will be provided upon application. We encourage candidates to explore the full value of our offer, including monetary and non-monetary benefits, at Employee benefits and development | U.S. Bank | Elavon. Closing Date Posting may be closed earlier due to high volume of applicants. We aim to provide timely updates throughout the process and encourage early applications to ensure consideration.