The Center for Economic Analysis (CEA) studies the role of the audit in capital formation and investor protection. CEA also advises the Board and PCAOB staff on how economic theory and analysis can be used to enhance the effectiveness of PCAOB program areas, including standard setting, inspections and other oversight activities. The CEA works to integrate economics and rigorous data analysis across the entire range of PCAOB programs, including standard-setting, inspections, enforcement, and risk assessment. The Center's activities include: (1) preparing economic analysis to inform standard setting and other PCAOB rulemaking; (2) fostering economic research on audit-related topics, including the role and relevance of the audit in capital markets; and (3) developing economic tools for use in PCAOB oversight programs.
Interns will provide support to the CEA by assisting staff economists and economic research fellows with the collection, organization, and statistical and econometric analysis of financial and non-financial information. Successful candidates may also assist staff economists in the development of economic analyses to inform standard-setting initiatives and other CEA initiatives.
As an intern in the CEA, you will have the opportunity to work with academics, economists and auditors to develop analytical tools for a variety of research topics. The assignments will allow you to develop a deeper understanding of auditing, financial markets, and economics while also developing your analytical skills
Collect and analyze financial and non-financial data using a variety of tools;
Ensure data quality through review and validation with source material;
Assist with financial and statistical analysis;
Conduct research using subscription database services, proprietary data, financial filings, and the internet;
Other projects may be assigned on an as-needed basis.
Full-time and part-time paid internship positions are available concurrent with the fall, spring and summer semesters of most schools. Part-time internships require a minimum commitment of 10 hours per week.
Undergraduate or graduate student majoring in Accounting, Economics, Finance, Business Administration, Statistics or Data Science;
Proficient with Microsoft software applications (especially Excel);
Experience with or willingness to learn the use of large, unstructured datasets;
Familiarity or strong desire to learn at least one statistical package or language (Stata, SAS, R, VBA, SQL etc.);
Ability to organize and meet deadlines;
Ability to be flexible, work independently and be self-motivated.