Business Analytics Ld Analyst - C13 - JACKSONVILLE

Citi; Jacksonville (FL); On-site; USD 114,000 - 171,000; Full time

Benefits offered by this job

Medical insurance

Dental & vision coverage

401(k)

Life, accident & disability insurance

Wellness programs

Paid time off

Job summary

Citi is seeking a Fraud Analytics, Modeling & Intelligence professional to lead analytics and strategy supporting North American and global credit card and retail banking businesses. The role focuses on identifying fraud trends, preventing attacks, and mitigating fraud across the lifecycle.

Responsibilities include building fraud rules, reporting, and collaborating with Policy and Operations to guide strategic decisions. Leadership of a team may also apply.

Qualifications

• 5+ years experience in analytics and modeling or relevant area.
• Big Data environment with hands on coding in SAS, SQL, Python, Impala, Hive or similar tools.
• Knowledge of ML techniques: logistic regression, gradient boosting, random forests.
• Experience with data visualization tools such as Tableau.

Responsibilities

• Leverage analytics to identify enhancement opportunities and granular insights while adhering to Fraud policy.
• Own and manage fraud rules, scores, detection strategies, and risk appetite execution.
• Collaborate with cross-functional teams to provide strategy recommendations based on data and trends.
• Build relationships inside and outside Fraud to ensure timely execution of portfolio priorities.
• Generate and manage regular and ad-hoc reporting to monitor emerging trends.
• Mentor and coach junior team members.

Skills

Analytics

SAS

SQL

Python

Impala

Hive

Machine learning

Data visualization

Education

Bachelor’s Degree in statistics, mathematics, physics, economics, or quantitative discipline

Master’s/PhD preferred

Tools

Tableau

Job description

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, designing and implementing strategies to prevent and mitigate fraud attacks across the fraud lifecycle, including application and synthetic ID fraud, account takeover and sophisticated new attack schemes.

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

This role also may also have direct or indirect management responsibility of team members.

Responsibilities:

• Leverage analytics to identify enhancement opportunities and more 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 help ensure successful and timely execution of key portfolio priorities.
• Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
• Continually assess manual and automated processes to identify potential process gaps and opportunities.
• Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
• Prioritize and provide a clear line of sight to the most critical work to partners and team members.
• Mentor and coach junior team members.

Qualifications:

• 5+ years experience in analytics and modeling or relevant area.
• Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools.
• Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
• 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 ability to effectively drive collaboration across teams.
• Ability to make decisions independently with minimal guidance from management.

Education:

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master’s Degree or PhD preferred.

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

Primary Location:

Jacksonville Florida United States

Primary Location Full Time Salary Range:

$113,840.00 - $170,760.00

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.

Most Relevant Skills

Please see the requirements listed above.

Anticipated Posting Close Date:

Oct 16, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate’s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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