Fraud Systems Lead: AI-Driven Innovation VP

Citigroup Inc.; Jacksonville (FL); On-site; USD 114,000 - 171,000; Full time

Job summary

The Fraud Lead Systems Analyst at Citi guides systems analysis and programming within the Technology team to implement new or revised fraud-related systems and programs. This senior role partners with management to deploy enhancements and improve processes in a large-scale environment.

The ideal candidate has 6–10 years in systems analysis, strong project management, expertise in fraud prevention, and hands-on experience with AI/ML initiatives.

Qualifications

• Bachelor’s degree/University degree or equivalent experience.
• Master’s degree preferred.

Responsibilities

• Partner with management to integrate functions and define system enhancements for new products and processes.
• Resolve high-impact problems by evaluating business and system processes.
• Provide in-depth analysis to define issues and develop innovative solutions.
• Leverage fraud prevention, detection, and operations experience in large-scale environments.
• Lead teams and deliver complex projects successfully.
• Understand fraud typologies and alert processing workflows best practices.
• Apply strong project management to manage priorities and timelines.
• Bridge the gap between technical and business teams.
• Direct experience with Generative AI/ML in financial services contexts.
• Familiarity with agile development methodologies.

Skills

Fraud knowledge

Project management

Analytical thinking

Communication

AI/ML experience

Agile methodologies

Education

Bachelor’s degree or higher

Master’s degree preferred

Job description

The Fraud Lead Systems Analyst at Citi guides systems analysis and programming within the Technology team to implement new or revised fraud-related systems and programs. This senior role partners with management to deploy enhancements and improve processes in a large-scale environment.

The ideal candidate has 6–10 years in systems analysis, strong project management, expertise in fraud prevention, and hands-on experience with AI/ML initiatives.