The Opportunity

As a Risk & Reg - Technology & Analytics Senior Associate Intern you will support work across regulatory, risk, technology, and analytics topics within our Advisory practice. As an Intern you will support teams, participate in projects, and contribute through research, basic analysis, and day-to-day tasks while building exposure to PwC methods, tools, and client service practices. This role offers the chance to learn how data, analytics, and AI can be applied to help organizations respond to risk and regulatory needs.

In this role at PwC, you will assist with gathering information, reviewing data, preparing materials, and contributing to project deliverables under guidance. You will have opportunities to develop your communication, teamwork, and digital tool skills while taking ownership of your learning and adapting to different assignments. The work may include supporting problem solving, documenting findings, and observing how professionals approach client issues in a fast-moving environment.

Responsibilities

• Supporting client projects focused on risk, regulatory, and analytics workstreams
• Conducting research on regulatory requirements, control frameworks, and emerging technology topics
• Assisting with data preparation, analysis, and visualization using digital tools and AI-enabled workflows
• Contributing to development of reports, presentations, and other deliverables for client teams
• Documenting findings, tracking project tasks, and organizing supporting materials for review
• Applying analytical skills to identify patterns, summarize information, and flag issues for follow-up
• Participating in team discussions, asking questions, and learning from feedback on assigned work
• Collaborating in a professional setting while building knowledge of advisory and data-driven problem solving

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
• Utilizing AI fluency to support data-driven client service tasks
• Applying digital tooling to streamline research and analysis activities
• Demonstrating curiosity in risk, regulatory, and analytics topics
• Supporting team projects through active listening and clear communication
• Adapting quickly to feedback, learning, and varied assignments

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.