AML & Sanctions Data Analytics Associate

PwC

Chicago (IL)

On-site

USD 61,000 - 100,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)
Holiday pay
Vacation
Sick leave

Job summary

PwC seeks an AML and Sanctions - Data & Analytics Associate to support data analytics within Risk & Regulatory. You will contribute to project tasks, build dashboards and reports, and help clients use data to inform decisions in a fast-paced banking environment.

You will gather and interpret data from multiple sources, apply Python and analytics tools, and communicate findings clearly while aligning with professional standards and client needs.

Qualifications

  • Bachelor's degree required or equivalent
  • Experience with data analysis, statistics, or BI tools preferred
  • Proficiency in Python/SQL used for analytics projects

Responsibilities

  • Analyze AML and sanctions data to identify trends and patterns for decision support
  • Develop dashboards, reports and visualizations for monitoring and issue tracking
  • Clean and reconcile data from multiple sources to improve quality
  • Apply Python and analytics tools to organize datasets and automate tasks
  • Translate business questions into clear analytical outputs for teams
  • Document data logic, assumptions and procedures used in reporting
  • Collaborate across teams to gather requirements and incorporate feedback
  • Learn and apply PwC standards while supporting client work in banking

Skills

Python
SQL
Data analysis
Statistics
Communication
Problem solving
Attention to detail
Team collaboration

Education

Bachelor's degree

Tools

Python
SQL
Tableau/Power BI
Excel

Job description

PwC seeks an AML and Sanctions - Data & Analytics Associate to support data analytics within Risk & Regulatory. You will contribute to project tasks, build dashboards and reports, and help clients use data to inform decisions in a fast-paced banking environment.

You will gather and interpret data from multiple sources, apply Python and analytics tools, and communicate findings clearly while aligning with professional standards and client needs.

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