Hybrid Senior Fraud Data Analytics Analyst, Assistant Vice President

at Citi

• Job title: Senior Fraud Data Analytics Analyst, Assistant Vice President
• Job type: Full Time
• Experience level: Senior
• Salary: $87,280 - $130,920 per year
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, Open Source, Python, SQL
• Location requirements: Hybrid, Jacksonville, United States

About the role

• Fraud Analytics Senior Analyst supporting Citi’s internal fraud detection through data analysis and strategy implementation. Collaborating with various teams to improve fraud detection mechanisms and governance processes.

Responsibilities

• Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis
• Ownership and management of internal fraud rules, data sources, and evaluation of ETL, execution performance and gap analysis
• Drive alignment across functional teams by interacting with data engineers, analysts, and business leaders to ensure shared understanding of data logic, and implementation specifics
• Ownership of controls and governance processes, identify potential process gaps and opportunities for improving effectiveness
• Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities
• Build effective relationships within and outside the internal fraud team to help ensure successful and timely execution of key portfolio priorities

Requirements

• Bachelor’s Degree required in statistics, economics, computer science, or other analytical or quantitative discipline
• 3+ years in analytical field
• Solid SQL skills and hands on coding experience and data structure/process understanding
• Experience working with Big Data Environment Open Source (i.e. Python, Impala, Hive, etc.) tools and scripting language are preferred
• Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights, and perform risk/reward trade-off analysis
• Good written and verbal communication skills, with ability to connect analytics to business impacts; comfortable presenting to peers and management
• Extremely detail-oriented; intellectual curiosity
• Ability to multi-task and work against tight deadlines
• Ability to work independently with baseline instructions/guidelines from management

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays