Job description

Duties: Work with a team of PhDs and IT professionals with expertise in Finance, Accounting, Economics, Statistics and Computer Science to help WRDS Research
Community by providing high quality Research Programs, Analytics, Applications, Research Replications and related research tools. Advise on best practices of
conducting empirical research with WRDS data. Have a leading role on creating and delivering new financial and analytical products to academics and corporate
customers that are specialized, complex and based on academic research. Present these analytics in a user-friendly format on our web site. Assist WRDS Users on
research and data related issues. Conduct academic and corporate training seminars for WRDS users around the world including scholars in finance, accounting,
economics and other business disciplines (Faculty, PhD Students). Within your area of expertise, you will be expected to keep up with the research at the frontier to
help us identifying new finance research applications. It implies actively participation in academic and corporate conferences. Advice WRDS Data and IT team on
data integrity processes enhance current products and contribute to the design of new products and services in order to facilitate the research accuracy and reliability.
Contribute to WRDS by working on innovative and value-adding academic and corporate projects to enhance the value of WRDS brand. Conduct research- and data related
academic training seminars for WRDS users. Solid knowledge of trends in finance and accounting research and outstanding empirical skills.

Qualifications: Ph.D. (or ABD) with specialization in Finance, Accounting, or Economics and 1-2 years of experience required, or equivalent combination of education
and experience. Broad experience in empirical research with the various financial/economic databases and solid knowledge of research literature in
finance/accounting are strongly preferred. Knowledge of programming languages (SAS, in particular) are critical to the success of this position.

Reference Number: 07-30537

Salary Grade: RES

Employment Type: Exempt

Org: Wharton Research Data Services

Special Requirements: Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

Job Family: I-Technical/Professional Research




Diversity Profile: University



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Job No:
Posted: 12/6/2018
Application Due: 1/10/2019
Work Type: