Risk Analyst Jobs

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Fraud Risk Analyst

U.S. Bank•Minneapolis, MN
•$105,400 - $124,000•Hybrid

About The Position

The Fraud Risk Analyst analyzes complex data, identifies emerging fraud trends, and develops strategies to prevent fraud across new account originations. The role owns fraud rule strategies for one or more products, using SAS, SQL, Python, and other analytical tools to design, test, implement, and optimize fraud controls. The analyst works with operations, technology, and risk management partners to quantify business impacts and balance fraud mitigation, customer experience, and operational efficiency. The role evaluates fraud trends and existing rule performance, using statistical analysis and performance monitoring to recommend rule thresholds, segmentation, and treatment strategies. It also designs and executes strategy tests and champion/challenger initiatives to evaluate performance and optimize controls. The analyst works independently while collaborating across the Quantitative Fraud Strategy organization and related teams, supporting strategy development in areas such as First-Party Fraud and Third-Party Fraud. Clear, actionable recommendations should reflect rule strategy, operational considerations, and strategic priorities. This position requires working from a U.S. Bank location three or more days per week and is not eligible for visa sponsorship.

Requirements

  • Bachelor’s degree or equivalent work experience.
  • Typically more than six years of applicable experience.
  • Strong background in fraud analytics and rule development, including identifying fraud trends and translating findings into rule changes.
  • Strong understanding and experience with SQL, SAS, and Python, including the ability to independently design analytical frameworks, automate complex processes, build predictive models, and turn large-scale data into actionable strategies and business recommendations.
  • Ability to perform strategy testing, segmentation analysis, or champion/challenger experiments and analyze large datasets for strategy testing, treatment analysis, and performance evaluation.
  • Knowledge of Fair and Responsible Banking principles and compliance considerations in strategy development.
  • Comprehensive knowledge of bank systems and experience with fraud decisioning platforms and rule engines.
  • Thorough understanding of fraud typologies, including First-Party Fraud, Third-Party Fraud, and Synthetic Identity Fraud, and experience developing mitigation strategies.
  • Strong verbal and written communication skills, including presenting complex analyses, fraud trends, and recommendations to senior leaders and executive stakeholders.
  • Ability to influence cross-functional partners with data-driven recommendations and effective communication.
  • Ability to manage multiple priorities in a fast-moving environment, with strong organization, attention to detail, and decision-making.
  • Commitment to compliance, internal controls, and ethical use of technology, including responsible use of approved AI tools.
  • Proficient computer navigation skills, including Microsoft Office and data analysis software.
  • Ability to work from a U.S. Bank location three or more days per week.

Nice To Haves

  • Experience supporting fraud strategy development in account origination, onboarding, identity verification, or digital banking.
  • Experience with external fraud and identity providers such as Socure, LexisNexis, or SentiLink.
  • Bachelor’s degree in a quantitative field.
  • Master’s degree.

Responsibilities

  • Develop, implement, and continuously refine fraud rule strategies using departmental data, balancing fraud mitigation, false positive rates, and organizational priorities.
  • Analyze large, complex datasets to identify emerging fraud trends, performance shifts, and strategic opportunities.
  • Translate analytical findings into actionable recommendations and communicate strategy updates, rule performance insights, and business impacts to management, partners, and stakeholders.
  • Monitor and evaluate rule performance, detect anomalies, validate thresholds, and identify opportunities to strengthen strategies and processes.
  • Use approved AI, analytics, automation, and visualization tools to accelerate insights, improve efficiency, and enhance fraud detection.
  • Collaborate with operations, technology, risk management, and cross-functional teams to validate rule effectiveness, conduct root-cause analysis, and align with compliance and governance standards.
  • Design and execute strategy tests and champion/challenger initiatives to evaluate rule performance and identify optimization opportunities.
  • Support rule development and sustainable fraud strategies in areas including First-Party Fraud and Third-Party Fraud.

Benefits

  • Medical, dental, and vision healthcare.
  • Basic term and optional term life insurance.
  • Short-term and long-term disability insurance.
  • Pregnancy disability and parental leave.
  • 401(k) and employer-funded retirement plan.
  • Paid vacation of 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 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
  • Incentive and recognition programs.
  • Equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.

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