Business Analytics Lead Analyst; Digital & Credit Card Fraud), VP

Business Analytics Lead Analyst (Digital & Credit Card Fraud), VP 00002 Citibank, N.A. – Irving, Texas, United States

As part of the Fraud Analytics, Modeling & Intelligence organization, this role manages and executes the fraud analytics and strategies supporting Citi’s North American and global credit card and retail bank businesses. This includes leveraging data to identify fraud trends and designing and implementing strategies to prevent and mitigate fraud attacks across the full fraud lifecycle, including application and synthetic , account takeover, and sophisticated new attack schemes.

This role partners closely with Fraud Policy, Operations and various partners to remain apprised of business and technology direction and determine potential and existing fraud impacts.

• Leverage analytics to identify enhancement opportunities and granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
• Ownership and management of fraud rules, scores, and detection strategies, risk appetite execution, POS interdiction strategies, and defect analysis.
• Collaborate with cross‑functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies.
• Build effective relationships within and outside the Fraud organization to ensure timely execution of key portfolio priorities.
• Generate and manage regular and ad‑hoc reporting to enable effective monitoring and identification of emerging trends.
• Continuously assess manual and automated processes to identify potential process gaps and opportunities.
• Lead key analytical projects within the retail bank fraud and digital fraud analytics team and support the Retail Bank lines of business by utilizing advanced predictive analytical and statistical techniques.
• Leverage customer data to build risk segmentation/mitigation strategies and complete complex analyses to identify authentication strategy and procedure gaps, manage implementation across systems to effect change.
• Prioritize and provide a clear line of sight to the most critical work to partners and team members.
• Mentor and coach junior team members.

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or another analytical or quantitative discipline.
• 5+ years of experience in analytics and modeling or a relevant area.
• Extensive experience working with a big‑data environment and hands‑on coding experience in traditional tools (SAS, SQL, etc.) and/or open‑source tools (Python, Impala, Hive, etc.).
• Proficiency with traditional and advanced machine‑learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
• Experience with data visualization tools, such as Tableau.
• Excellent quantitative and analytic skills; ability to derive patterns, trends, and insights, and perform risk/reward trade‑off analysis.
• Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
• Effective cross‑functional project, resource, and stakeholder engagement and management, with the ability to drive collaboration across teams.
• Ability to make decisions independently with minimal guidance from management.

Job Family Group: Decision Management

Job Family: Business Analysis

Time Type: Full time

Primary

Location:

Florence, Kentucky, United States

Primary Location Full Time Salary Range: $117,000 - $176,000

In addition to salary, Citi offers competitive benefits: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off (vacation, sick leave, holidays). For additional information, please visit Citi’s benefits page. Available offerings may vary by jurisdiction, job level, and date of hire.

Anticipated Posting Close Date: Mar 03, 2026