Senior Business Analytics Analyst - Assistant Vice President

Citi

. Execute fraud analytics and strategies supporting Citi’s North American and global credit card and retail bank businesses .

Posted 10/23/2026full-timeUnited StatesSenior💰 $87,280 - $130,920 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in fraud analytics and strategy development, leveraging data to identify trends and implement prevention measures. Proficient in advanced analytics, machine learning techniques, and data visualization to drive insights and support business objectives.

Highest-signal resume keywords

Fraud AnalyticsMachine Learning TechniquesData VisualizationSAS and SQL CodingBig Data Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud Detection StrategiesRisk/Reward Trade-Off AnalysisLogistic RegressionGradient BoostingRandom ForestsData AnalysisPattern RecognitionQuantitative AnalysisDefect AnalysisPOS Interdiction Strategies

Soft Skills

Excellent Communication SkillsDetail-OrientedIntellectual CuriosityAbility to Multi-TaskIndependent Work

Tools & Technologies

TableauPythonImpalaHiveBig Data Tools

Industry Keywords

Fraud PreventionCredit Card FraudRetail BankingFraud PolicyGovernance Processes

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Execute fraud analytics and strategies supporting Citi’s North American and global credit card and retail bank businesses
Leverage data to identify fraud trends
Design and implement strategies to prevent and mitigate fraud attacks across the fraud lifecycle, including application and synthetic ID fraud, account takeover, and sophisticated new attack schemes
Partner with Fraud Policy, Operations, and other stakeholders to understand business and technology direction and determine fraud impacts
Derive patterns, trends, and insights using data and advanced analytics
Perform risk/reward trade-off analysis
Own and manage fraud rules, scores, detection strategies, risk appetite execution, POS interdiction strategies, and defect analysis
Collaborate with cross-functional teams to recommend and implement mitigation strategies
Build relationships within and outside the Fraud organization to support timely execution of portfolio priorities
Identify process gaps and opportunities to improve controls and governance processes
Generate and manage regular and ad-hoc reporting to monitor emerging trends

Requirements

What you’ll need

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 environments
Hands-on coding experience with traditional tools such as SAS and SQL and/or open-source tools such as Python, Impala, and Hive
Knowledge of traditional and advanced machine learning techniques and algorithms, including Logistic Regression, Gradient Boosting, and Random Forests
Experience with 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
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

Comp & perks

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
Discretionary and formulaic incentive and retention awards for eligible employees