Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Intern/Trainee
Job Description & Summary
The Opportunity
As a Financial Crimes Unit Consulting Senior Associate Intern you will support Advisory work focused on risk and regulatory challenges, using data, analytics, and AI to help clients address financial crimes issues through research, analysis, and project support. As an Intern you will support teams, observe and learn, participate in projects, and contribute through basic tasks and research while building your knowledge of PwC practices and developing your own professional presence within our Advisory practice. In this role at PwC, you will help gather information, organize findings, and support team deliverables across a range of client-focused assignments that may involve compliance, controls, and issue assessment.
Responsibilities
- Supporting financial crimes consulting projects through research, data gathering, and task coordination
- Assisting with analyses of transaction patterns, alerts, controls, and regulatory risk indicators
- Using data, analytics, and AI tools to organize information and prepare draft outputs for review
- Participating in issue identification by reviewing source materials, process flows, and case documentation
- Contributing to presentations, status updates, and working materials for client discussions
- Learning financial crimes compliance concepts, risk management approaches, and advisory methods through assigned tasks
- Collaborating across project teams to track deliverables, capture notes, and maintain organized files
- Applying feedback to refine work products, strengthen technical skills, and support project progress
What You Must Have
- Currently pursuing or have completed a Master's of Business Administration degree
- At least 3 years of experience
- Client service Senior Associate intern positions are for job seekers who are one year away from graduation of their MBA program at the time of application
What Sets You Apart
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating AI fluency in data, analytics, and AI workflows
- Applying financial crimes concepts in advisory client support settings
- Utilizing digital tooling to organize research and project tasks
- Communicating clearly while asking thoughtful questions
- Accepting feedback and adapting quickly in team settings
Travel Requirements
Up to 80%
Job Posting End Date
November 18, 2026
The annual salary range for this position is $84,000 - $202,000 and will be prorated for the time of employment. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
