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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data analysis and visualization, with strong capabilities in Python and SQL to support AML and sanctions data analysis. Demonstrates effective communication and collaboration skills to translate business needs into analytical outputs while adhering to regulatory standards.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData AnalysisData VisualizationRegulatory Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData CleaningData ReconciliationPattern RecognitionStatistical AnalysisBusiness IntelligenceProcess ImprovementDashboard DevelopmentReportingAnalytics Tools
Soft Skills
CommunicationCollaborationCuriosityAdaptabilityOwnership
Industry Keywords
AMLSanctionsBankingData SourcesClient SupportProject ManagementFinancial MathematicsQuantitative FinanceOperations ManagementRisk Management
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyze AML and sanctions data to identify trends, exceptions, and patterns supporting client decision-making
- Support development of dashboards, recurring reports, and data visualizations for monitoring and issue tracking
- Collect, clean, and reconcile data from multiple sources to improve completeness and consistency
- Apply Python and analytics tools to organize datasets, automate repeatable tasks, and support process improvement
- Translate business questions into clear analytical outputs regarding AML and sanctions activity
- Document data logic, assumptions, and procedures used in reporting and analysis
- Collaborate across project teams to gather requirements, validate findings, and adjust outputs based on feedback
- Learn and apply Firm and regulatory standards while contributing to client support tasks in a banking environment
Requirements
What you’ll need- At least a Bachelor's degree
- At least 1 years of experience
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating coursework in data analysis, statistics, or business intelligence
- Applying Python, SQL, or analytics tools in academic or project settings
- Gathering and interpreting data from multiple sources for pattern recognition
- Communicating findings clearly to varied teams and stakeholders
- Showing curiosity, adaptability, and ownership in fast-paced settings
- Willingness to travel up to 60%
- Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in PwC's policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
