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Tier-1 brand, mid-level generalist analytics title, metro location, and hybrid role drive high applicant density.
Core analytics and tooling transferable, but fraud domain knowledge moderately limits cross-industry fit.
Explicit 3+ years and mandatory SAS/SQL plus Tableau increases screening rigor.
Manage and execute fraud analytics and strategy for Citi’s North American Retail Bank business, focusing on fraud lifecycle including application fraud, synthetic ID, and account takeover.
Own and manage fraud detection rules, scores, and strategies by analyzing customer and transactional data to identify emerging fraud trends.
Collaborate with stakeholders to recommend and implement fraud mitigation strategies and develop regular and ad-hoc reports and dashboards to monitor fraud performance.
Bachelor’s degree in Statistics, Economics, Finance, Mathematics, Engineering, MBA, or a related quantitative field.
Minimum 3+ years of hands-on analytical experience with at least 3+ years in statistical analysis.
Mandatory technical skills include SAS and SQL; Python or R is desired. Knowledge of data visualization tools such as Tableau is required.
Work Experience Required: Minimum 3+ years hands-on analytical experience.
Experience working in a fast-paced, dynamic environment with strong analytical and problem-solving skills applied to fraud or risk analytics.
Capable of managing cross-functional collaboration with senior stakeholders, fraud policy, operations, and technology teams to implement fraud strategies.
Proven ability to translate data insights into actionable strategy recommendations with experience in report/dashboard creation and stakeholder communications.