2027 Internal Audit Intern

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

 

The Internal Audit Department (IAD) Technology and Analytics Internship Program serves multiple internship tracks within Internal Audit. Interns hired through this program may be placed into one of three specialized tracks based on demonstrated skills, interests, and business needs: Technology Audit Intern, Business, Dealer, Asset Management (BDAM) or Professional Practices Group (PPG) Data Analytics Intern. Internal Audit provides independent assurance over Schwab’s governance, risk management, and internal control environment, helping strengthen business processes and support sound decision-making across the organization.

 

As an intern, you will gain hands-on experience working within a structured, highly regulated environment where evidence-based analysis, critical thinking, and documentation quality are essential. Depending on placement, you may support audit activities involving technology operations, cybersecurity, applications, infrastructure, controls testing, risk assessments, or data analytics initiatives that enhance audit effectiveness through data-driven procedures. Projects may include analyzing information, validating evidence, documenting methodologies and results, performing data analysis, identifying trends or anomalies, supporting audit testing activities, and creating work products that can be reviewed, reused, and relied upon by audit teams.

 

Throughout the internship, you will collaborate with experienced professionals while developing durable skills in problem solving, analytical reasoning, communication, documentation, validation techniques, and stakeholder collaboration. You will gain valuable exposure to how audit, risk, analytics, and technology functions work together to support organizational success and regulatory compliance.

 

Internships available in this track:

Technology

Risk Analytics / Modeling

Data Analytics

Business, Dealer, Asset Management (BDAM)

What you have

Required Qualifications

• Currently pursuing a Bachelor’s degree in Accounting, Finance, Business, Information Systems, Computer Science, Cybersecurity, Data Analytics, Statistics, Mathematics, Risk Management, or a related field with an anticipated graduation date aligned to internship program requirements.
• Authorized to work in the United States on a full-time basis without employer sponsorship
• Strong analytical and problem-solving abilities with demonstrated capability to evaluate information and draw logical conclusions.
• Effective written and verbal communication skills.
• Strong attention to detail and commitment to accuracy, quality, and documentation.
• Ability to organize work, manage multiple priorities, and meet deadlines.
• Demonstrated ability to learn new concepts, technologies, tools, or processes quickly.
• Ability to collaborate effectively within team-based environments.

Preferred Qualifications

• Coursework, academic projects, internships, or practical experience related to auditing, risk management, information systems, cybersecurity, technology operations, business analysis, statistics, data analytics, or related disciplines.
• Exposure to data analysis, reporting, dashboards, business intelligence, or visualization tools.
• Familiarity with SQL, Python, R, Tableau, Power BI, Alteryx, or similar analytics technologies.
• Understanding of technology controls, cybersecurity concepts, information systems, or risk management principles.
• Experience documenting projects, research, technical procedures, analyses, or structured business recommendations.
• Participation in student organizations, leadership activities, case competitions, team-based projects, or other collaborative initiatives.

 

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