Fraud Risk Analyst

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.

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies that prevent fraud across new account originations. You will own fraud rule strategies for one or more products, leveraging SAS, SQL, Python, and other analytical tools to design, test, implement, and optimize fraud controls. Working closely with partners across operations, technology, and risk management, you will quantify business impacts, balance fraud mitigation, customer experience, and operational efficiency to drive continuous improvement of fraud prevention capabilities

The ideal candidate is passionate about protecting customers, thrives in a fast‑paced environment, and brings creativity to identifying fraud patterns and shaping effective rule strategies. Operating with a high degree of independence, this role requires strong analytical judgment, strategic thinking, and the ability to drive fraud strategy initiatives with limited oversight.

You will evaluate emerging fraud trends, assess the performance and efficiency of existing rules, and leverage statistical analysis and performance monitoring to make data-driven recommendations regarding rule thresholds, segmentation, and treatment strategies. You will also design and execute strategy tests and champion/challenger initiatives to evaluate rule performance and identify opportunities for optimization. As a self‑starter and collaborative contributor, you will work closely with teams across and beyond the Quantitative Fraud Strategy organization to develop sustainable strategies, share insights, and support rule development across key areas including First‑Party Fraud and Third‑Party Fraud.

This role emphasizes analytical skills, effective decision-making, and the ability to deliver clear, actionable recommendations informed by a strong understanding of rule strategy, operational considerations, and strategic priorities.

Primary Responsibilities

• Develop, implement, and continuously refine fraud rule strategies that leverage departmental data, balancing fraud mitigation, false positive rates, and alignment with organizational priorities

• Analyze large, complex datasets to identify emerging fraud trends, performance shifts, and strategic opportunities that inform rule development and refinement

• Translate analytical findings into clear, actionable recommendations and communicate strategy updates, rule performance insights, and business impacts to management, partners, and key stakeholders

• Monitor and evaluate rule performance on an ongoing basis, detecting anomalies, validating thresholds, and proactively identifying opportunities to strengthen existing strategies and processes

• Leverage approved AI, analytics, automation, and visualization tools to accelerate insight generation, improve operational efficiency, and enhance fraud detection capabilities

• Collaborate closely with operations, technology, risk management, and cross‑functional teams to validate rule effectiveness, conduct root‑cause analysis, and ensure alignment with compliance and governance standards

Basic Qualifications
- Bachelor’s degree, or equivalent work experience
- Typically more than eight years of applicable experience

Preferred Skills and Experience

• Strong background in fraud analytics and rule development, with demonstrated ability to identify emerging fraud trends and translate findings into effective rule changes

• Deep expertise in SQL, SAS, and Python, with the ability to independently design analytical frameworks, automate complex processes, build predictive models, and translate large-scale data into actionable fraud risk…