AML and Sanctions - Data & Analytics - Experienced Associate

PricewaterhouseCoopers•Charlotte, NY

2d•Onsite

About The Position

As an AML and Sanctions - Data & Analytics Associate, you will support work in data and analytics within our Risk & Regulatory practice, with a focus on business intelligence that helps clients use data to inform decisions and improve operating results. As an Associate, you will develop your skills by contributing to project tasks, learning from more senior team members, adapting to varied client needs, and taking ownership of work that supports quality delivery and your own professional growth. In this role at PwC, you will gather and interpret information from multiple sources, recognize patterns, communicate clearly, and apply professional and technical standards while building commercial awareness in a fast-paced environment.

Requirements

At least a Bachelor's degree
At least 1 years of experience

Nice To Haves

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

Responsibilities

Analyzing AML and sanctions data to identify trends, exceptions, and patterns that support client decision-making
Supporting the development of dashboards, recurring reports, and data visualizations for monitoring and issue tracking
Collecting, cleaning, and reconciling data from multiple sources to improve completeness and consistency
Applying Python and analytics tools to organize datasets, automate repeatable tasks, and support process improvement
Translating business questions into clear analytical outputs that help teams understand AML and sanctions activity
Documenting data logic, assumptions, and procedures used in reporting and analysis
Collaborating across project teams to gather requirements, validate findings, and adjust outputs based on feedback
Learning and applying Firm and regulatory standards while contributing to client support tasks in a banking environment