Business Analytics Lead Analyst (Digital, Credit Card, First Party Fraud) Hybrid, VP

$117,440 - $176,160/Yr

Citigroup - Florence, KY

Full-time - Mid Level

Florence, KY

Credit Intermediation and Related Activities

About the position

This role within the Fraud Analytics, Modeling & Intelligence organization is responsible for managing and executing fraud analytics and strategies that support Citi's North American and global credit card and retail bank businesses. The position focuses on leveraging data to identify fraud trends and designing strategies to prevent and mitigate fraud attacks across various fraud types, including application fraud and account takeover. The role requires close collaboration with Fraud Policy, Operations, and other partners to assess fraud impacts and implement effective solutions.

Responsibilities

• Leverage analytics to identify enhancement opportunities and insights while ensuring adherence to Fraud Policy.
• Ownership and management of fraud rules, scores, and detection strategies, including risk appetite execution 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 successful execution of key portfolio priorities.
• Generate and manage regular and ad-hoc reporting to monitor and identify emerging trends.
• Assess manual and automated processes to identify potential gaps and opportunities.
• Lead key analytical projects within the retail bank fraud and digital fraud analytics team.
• Utilize advanced predictive analytical and statistical techniques to support the Retail Bank lines of business.
• Leverage customer data to build risk segmentation/mitigation strategies and identify authentication strategy gaps.
• Prioritize and provide clear visibility to critical work for partners and team members.
• Mentor and coach junior team members.

Requirements

• Bachelor's Degree in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
• 5+ years experience in analytics and modeling or relevant area.
• Extensive experience with Big Data environments and hands-on coding in traditional (SAS, SQL) and/or open source (Python, Impala, Hive) tools.
• Experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests.
• Proficiency in data visualization tools, such as Tableau.
• Excellent quantitative and analytic skills to derive patterns, trends, and insights.
• Ability to build effective presentations to communicate analytical findings to diverse audiences.
• Effective cross-functional project, resource, and stakeholder engagement and management skills.
• Ability to make independent decisions with minimal guidance.

Benefits

• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages including vacation, sick leave, and paid holidays