Retail Banking Analytics Manager

Citi

. Lead a team of data analysts across multiple concurrent projects .

Posted 10/15/2026full-timeUnited StatesSeniorLead💰 $145,840 - $218,760 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytical teams and driving AI adoption within financial services, leveraging advanced statistical techniques and machine learning to deliver strategic insights and measurable business outcomes.

Highest-signal resume keywords

Data AnalysisAI Adoption LeadershipStatistical TechniquesMachine Learning ToolsProject Planning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data QueryingStatistical ModelingData VisualizationData ProcessingPythonSQLPredictive AnalysisData CleaningAnalytical Findings DocumentationRisk Assessment

Soft Skills

Creative Problem-SolvingAnalytical Thought LeadershipTeam DevelopmentAccountabilityEffective Communication

Certifications & Qualifications

Master's Degree in Quantitative Discipline

Industry Keywords

Financial ServicesRetail BankingBusiness AnalysisCredit AnalysisRisk AnalysisAI MethodologiesEmerging AI TechniquesBusiness StrategiesPerformance OptimizationFinancial Crime Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead a team of data analysts across multiple concurrent projects
Set priorities, manage deliverables, and maintain accountability for outcomes
Champion AI-driven approaches and build team capability in emerging AI methodologies relevant to retail banking
Partner with senior leadership to translate advanced analytics into strategic recommendations
Optimize coverage models and accelerate frontline performance
Analyze large, complex internal and external data sets
Evaluate business strategies and measure impacts on deposit, lending, and investment growth
Design and implement data collection, processing, and cleaning workflows
Apply statistical models, algorithms, and data visualization techniques for exploratory and predictive analysis
Identify and compile data sets using Python and SQL
Document data requirements and analytical findings for executive decision-making
Assess risk implications of analytical outputs and business recommendations
Apply AI-powered tools and machine learning techniques to embed intelligent automation in analytical workflows

Requirements

What you’ll need

10 or more years of experience in analytics, financial or business analysis, or credit and risk analysis within financial services
Demonstrated ability to lead and develop analytical teams, including performance evaluation, hiring, and resource planning
Expert knowledge of advanced statistical techniques and applied experience driving measurable business results
In-depth understanding of financial services business models and commercial drivers
Practical experience leveraging AI and machine learning tools to solve real business problems
Proficiency in data querying and compilation tools to extract and structure data sets at scale
Effective project planning and delivery management skills
Strong analytical thought leadership and experience shaping strategy through data
Demonstrated ability to lead AI adoption within an analytics function
Master's degree in a quantitative, analytical, or business-related discipline is beneficial
Experience applying analytics within marketing, risk, digital, or financial crime is beneficial
Familiarity with data visualization techniques and tools is beneficial
Creative problem-solving skills for ambiguous or novel business challenges

Benefits

Comp & perks

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off, including vacation, sick leave, and paid holidays
Hybrid working model with 3 days in the office and 2 days working remotely
Direct access to senior leadership
Ownership of a high-impact analytics function with autonomy to shape business outcomes
Exposure to complex, large-scale data environments and cross-functional initiatives
Ongoing learning and development opportunities
Competitive compensation and financial wellbeing support
Discretionary and formulaic incentive and retention awards may be available for eligible employees