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Faculty Research Data Consultant « Position Deleted on 3/19/2013 »
|Institution:||University of Chicago Booth School of Business|
|Posted:||01/18/2013 (Reposted Job: Initially posted on 11/13/2012)|
|Application Due:||Open Until Filled|
This position is no longer an active posting on HigherEdJobsThe Faculty Technology Consultant will assist faculty, research assistants and PhD students with the use of technology in instruction and research, including but not limited to large data manipulation and management, complex statistical analysis and modeling, data mining and other research methodologies. They will work with faculty to apply advanced analytical techniques to extract, manipulate, and analyze large volumes of financial, economic and marketing data.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Consults with faculty on
technology requests to support research and teaching.
- Assists faculty members with large data manipulation, complex statistical
applications, programming, analysis and modeling.
- Consults with faculty, research assistants and PhD students on grid/cluster
computing, including optimizing and parallelizing code and leveraging GPU resources.
- Serves as a single point of contact for all
faculty research technology requests.
- Consults with faculty on requests for research data. Researches data options from multiple
sources to support faculty teaching and research.
- Partners with other University of Chicago campus teams, including the Research Computing Center, Computation Institute, PADS and Globus to assist faculty with technology research challenges.
- Master's degree or Ph.D. in computational finance, mathematical finance, financial engineering, applied mathematics, statistics, mathematics, economics, computer science or engineering required.
- At least five years of professional job-related work experience required.
- Experience transforming isolated data files and databases into shared data assets that can easily be accessed and used by many researchers required.
- Familiarity with SQL and methods of accessing data in relational databases, such as Oracle, and Microsoft SQL Server required.
- Ability to use Microsoft Excel, Access and SQL programming skills for data mining and to supplement and enhance data analyses required.
- Knowledge of or familiarity with scripting languages such as Perl, Python and PowerShell or other comparable programming skills required.
- Ability to manage multiple projects simultaneously in a fast-paced environment with strong attention to detail and accuracy required.
- Proven ability to work independently as well as on a team required.
- Strong written and verbal communication skills required.
- Superior quantitative abilities, logical reasoning and analytical skills required along with a high level of attention to detail required.
- Ability to work and communicate with both faculty and Information Technology staff required.
- Proficiency with the Microsoft Office suite of applications required.
The University of Chicago is an Affirmative Action / Equal Opportunity Employer.
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