Upenn · 3440 Market StreetPrepare for this interview
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University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Associate Economist Job Profile Title Data Analyst Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit www.wharton.upenn.edu. The Associate Economist will perform statistical modeling and economic analyses as part of the Penn Wharton Budget Model (PWBM) initiative. The position involves applying economics, software engineering, and advanced statistical and machine learning skills to assist with model development and economics and policy research related to business tax, trade, and fiscal policies. This position is contingent upon restricted funding. Job Description Responsibilities/Duties: As part of the Penn Wharton Budget Model (PWBM) initiative, perform the following duties: Architect, develop, and refine all aspects of the PWBM Tax Module (a business tax microsimulation model), including development and implementation of advanced statistical and machine learning methods, forecasting of macroeconomic and business sector trends, and modeling of taxpayer behavioral and economic responses to policy. Acquire, process, and combine data from corporate tax returns, financial statements, and business surveys using machine learning and integrate the data from various sources into the PWBM Tax Module. Develop and refine a model of the economic effects of tariffs, including budgetary impact, distributional effects, and the benefits or costs for U.S. businesses. Run tax policy analysis models to produce tax policy scores and economic analysis in response to requests from policymakers. Evaluate, recommend, and implement techniques for estimating policy impacts based on theoretical and empirical economics literature, and produce briefs and blogs for the PWBM website explaining results of research and analyses. Identify project needs and design and write robust code for automating analyses, data, and visualization processes that can be applied broadly within the modeling codebase to accomplish varied project needs, utilizing R, Python, and SQL. Provide direction to junior research analysts on data management, statistical modeling, and tax policy. Attend conferences and participate in the interviewing process for the hiring of junior analysts.
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