PwC is a global professional services network focused on audit, assurance, consulting, and tax. Its teams work with organizations across financial services, technology, media, telecommunications, and other industries on challenges such as cybersecurity, business transformation, sustainability, and broader business advisory needs. With operations spanning 157 countries and a workforce of more than 276,000 people, PwC combines industry expertise with specialized solutions designed to help clients create and protect value.
PwC AML and Sanctions Data Analytics Experienced Associate New York City Onsite
Support PwC banking and capital markets clients with AML and sanctions data analysis. Build dashboards, reports, and Python-based analyses for risk monitoring and regulatory projects.
Description
- Examine AML and sanctions data to surface trends, anomalies, and patterns that inform client decisions.
- Help create dashboards, recurring reports, and visualizations for monitoring activity and tracking issues.
- Gather, cleanse, and reconcile data from multiple sources to strengthen accuracy and consistency.
- Use Python and analytics tools to structure datasets, automate recurring work, and improve processes.
- Convert business questions about AML and sanctions activity into practical analytical deliverables.
- Record the data logic, assumptions, and procedures underlying reports and analyses.
- Work with project teams to define requirements, verify results, and refine deliverables from stakeholder feedback.
- Apply firm and regulatory standards while supporting client engagements in the banking sector.
Requirements
- Bachelor’s degree or higher.
- At least one year of professional experience.
- Preferred academic background in accounting, analytics or data science, biology or biomedical sciences, business administration or management, computer science or information systems, economics, engineering, finance, financial mathematics or quantitative finance, health administration or public health, mathematics or statistics, operations or supply chain, project or technology management, risk management or insurance, or another listed science discipline.
- Coursework in data analysis, statistics, or business intelligence.
- Experience using Python, SQL, or analytics tools in academic or project work.
- Ability to collect and interpret data from multiple sources to identify patterns.
- Clear communication skills for presenting findings to diverse teams and stakeholders.
- Curiosity, adaptability, and personal ownership in a fast-paced environment.
- Willingness to travel up to 60%.
- Must not require PwC sponsorship through the H-1B lottery now or in the future, except where PwC policy provides otherwise.
Benefits
- Annual discretionary bonus.
- Medical insurance.
- Dental insurance.
- Vision insurance.
- 401(k) plan.
- Holiday pay.
- Vacation leave.
- Personal and family sick leave.