Business Analytics Lead Analyst

Citi

. Leverage analytics to identify enhancement opportunities and actionable granular insights while ensuring adherence to Fraud Policy .

Posted 10/30/2026full-timeUnited StatesSenior💰 $113,840 - $170,760 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics and modeling, with hands-on experience in Big Data environments and proficiency in machine learning techniques. Capable of driving collaboration across teams while effectively communicating analytical insights and managing fraud mitigation strategies.

Highest-signal resume keywords

5+ Years Experience In Analytics And ModelingHands-On Coding Experience In Big Data EnvironmentsKnowledge Of Machine Learning TechniquesExperience With Data Visualization ToolsBachelor’s Degree In Statistics, Mathematics, Physics, Economics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsModelingMachine LearningLogistic RegressionGradient BoostingRandom ForestsData VisualizationSASSQLPython

Soft Skills

Quantitative SkillsAnalytic SkillsEffective CommunicationCollaborationMentoring

Tools & Technologies

TableauImpalaHive

Industry Keywords

Fraud PolicyFraud Mitigation StrategiesRisk Appetite ExecutionPOS Interdiction StrategiesDefect Analysis

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Leverage analytics to identify enhancement opportunities and actionable granular insights while ensuring adherence to Fraud Policy
Own and manage fraud rules, scores, 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
Implement fraud mitigation strategies across the fraud lifecycle
Build effective relationships within and outside the Fraud organization to support timely execution of portfolio priorities
Generate and manage regular and ad-hoc reporting to monitor and identify emerging trends
Assess manual and automated processes to identify process gaps and opportunities
Prioritize critical work and provide clear visibility to partners and team members
Mentor and coach junior team members
Potentially manage team members directly or indirectly

Requirements

What you’ll need

5+ years experience in analytics and modeling or relevant area
Hands-on coding experience in Big Data environments using 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
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
Ability to drive collaboration across teams
Ability to make decisions independently with minimal guidance from management
Bachelor’s Degree required in statistics, mathematics, physics, economics, or another analytical or quantitative discipline

Benefits

Comp & perks

Discretionary and formulaic incentive and retention awards
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