Fraud Analytics Group Manager, SVP

The Fraud Analytics & Modeling Organization is responsible for the development, testing, implementation, monitoring, and optimization of fraud strategies to prevent and mitigate fraud attacks across the full fraud lifecycle including application, authorization, authentication, and sophisticated new attack schemes. The centralized organization is responsible for strategically balancing the minimization of fraud losses, improving customer experience, and reducing operational expenses across Citi's businesses.

The Citi Wealth Fraud Analytics Team is responsible for the execution of fraud strategies (first party and third party) for Citi’s Wealth clientele; Retail Bank, High Net Worth, and Ultra High Net Worth customers. The fraud strategies cover account opening, deposits, and money movement through Debit cards, ATMs, Checks, Wires, Zelle, Bill Pay, ACH etc.

This role manages a team of analysts responsible for fraud strategies while partnering closely with Fraud Policy, Fraud Operations, Technology, and various other partners and executive leadership to keep apprised of business and technology strategic direction to identify potential fraud impacts, driving the fraud analytics strategy.

Responsibilities:

• Drive innovation via thought leadership while maintaining end-to-end view and leveraging Global cutting-edge techniques
• Ownership and management of fraud rules, scores, and detection strategies, Risk appetite execution, POS interdiction strategies and defect analysis
• Deliver tangible business benefit and value (e.g. loss avoidance, expense optimization, enhanced customer experience).
• Introduce cutting-edge techniques via new tools and usage of data/information; continually ensure processes (the “how”) are optimized to enable rapid decisioning
• Collaborate with cross-functional partners and management to define strategies that balance risk and return; holds self, seniors and peers accountable to openly debate the best possible solutions.
• Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
• Continually assess manual and automated processes to identify potential process gaps and opportunities.
• Prioritize and provide a clear line of sight to the most critical work to partners and team members.
• Manage and develop high performing team; establish bench strength to support needed fraud capabilities and business goals.

Qualifications:

• 10+ years of relevant analytics/modeling experience
• Financial/Business Analysis and/or fraud/risk analysis with ability to impact key business drivers via a disciplined analytic process
• Provide analytic thought leadership
• Manage project planning effectively
• In-depth understanding of the various financial service business models, expert knowledge of advanced statistical techniques and how to apply the techniques to drive substantial business results
• Creative problem solving skills

Education:

• Bachelors/University degree, Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Primary Location:

Jacksonville Florida United States

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Primary Location Full Time Salary Range:

$153,600.00 - $230,400.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Jun 04, 2026

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