Business Analytics Senior Analyst - Assistant Vice President

Citi; Jacksonville (FL); On-site; GBP 65,000 - 98,000; Full time

Job summary

Citi is seeking a Fraud Analytics, Modeling & Intelligence professional to leverage data for identifying fraud trends and designing strategies to prevent and mitigate fraud across the lifecycle. The role partners with Fraud Policy and Operations to align business and technology directions and determine potential fraud impacts.

The incumbent will own fraud rules, risk scoring, and detection strategies while collaborating with cross-functional teams to implement mitigation strategies and monitor

Qualifications

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
• 3+ years in relevant field.
• Experience with Big Data environments and coding in SAS/SQL and open source tools (Python, Impala, Hive).
• Proficiency in traditional and advanced machine learning techniques and algorithms (Logistic Regression, Gradient Boosting, Random Forests).
• Excellent quantitative and analytic skills with ability to derive patterns and insights.

Responsibilities

• Leverage data and analytics to derive patterns and insights, and perform risk/reward trade-off analysis.
• Own and manage fraud rules, scores, and detection strategies; execute risk appetite and interdiction strategies.
• Collaborate with cross-functional teams to recommend strategies based on data and trends; implement mitigation strategies.
• Build relationships to ensure timely execution of portfolio priorities within and outside Fraud.
• Identify process gaps and improve controls and governance.

Skills

Big Data

SQL

Python

SAS

Tableau

Education

Bachelor’s Degree in analytics/quantitative field

Tools

SAS

SQL

Python

Tableau

Impala/Hive

Job description

As part of the Fraud Analytics, Modeling & Intelligence organization, this role 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.

Responsibilities

• Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• 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.
• Leverage knowledge of information acquired to identify potential process gaps and opportunities for improving effectiveness of controls and governance processes.
• Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.

Qualifications

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
• 3+ years in relevant field.
• Experience working with:Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source ( Python, Impala, Hive, etc.) tools.Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, visualization tools, such as Tableau
• Excellent quantitative and analytic skills; ability to derive patterns, trends 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

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Job Family Group

Decision Management

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Job Family

Business Analysis

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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

$87, - $130,

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 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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Anticipated Posting Close Date

Oct 31, 2026

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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.

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