Interdisciplinary Economist or Statistician

You may qualify for your desired series and grade level if you meet the following qualification requirements: BASIC REQUIREMENTS: Basic Entry Requirements for an Economist (0110 series): A. Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus. -OR- B. Combination of education and experience: courses equivalent to a major in economics, as shown in A above, plus appropriate experience or additional education. Examples of qualifying experience include: individual economic research assignments requiring planning, information assembly, analysis and evaluation, conclusions and report preparation; supervisory or project coordination assignments involving a staff of professional economists, and requiring the evaluation and interpretation of economic information; or teaching assignments in a college or university that included both class instruction in economics subjects and one of the following (1) personal research that produced evidence of results, (2) direction of graduate theses in economics, or (3) service as a consultant or advisor on technical economics problems. Note: Experience in related fields that did not involve the use and understanding of economic principles and theories may not be used as qualifying experience for these positions. Special attention on this point should be given to certain types of work that may or may not have provided professional economic experience. The following examples of work require special care in such determinations: economic statistics; industrial surveys; management of individual business enterprises, including farms; industrial planning; writing or editorial work in economic subjects; and financial market analysis. Basic Entry Requirements for a Statistician (1530 series): A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology. -OR- B. Combination of education and experience: courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. In addition to meeting the above basic education or education and experience requirements, applicants must also meet the following minimum qualifications for their desired grade level: MINIMUM QUALIFICATIONS: Minimum Qualification EL-09: Applicants must have 52 weeks (one-year) of specialized experience equivalent to the next lower grade level and/or directly related education as described below. From the description below, if you choose options “B” or “C” you must provide transcripts with your application. A. Experience: I qualify for the EL/GS-09 because I have at least 52 weeks of specialized experience at the EL/GS-07 or equivalent demonstrating work experience with the following: (A candidate would need to have 3 of the 5 listed below to qualify) Working with financial institutions’ associated issues and industry practices related to data analysis using statistical software like SAS or R; Analyzing and summarizing data and information using statistical software like SAS or R; Performing some of the listed aspects of the lifecycle of data: design, development, collection, storage, production, validation, management, maintenance, documentation, dissemination, usage, and user support–using statistical software like SAS or R; Conducting validation and quality assessment of data to produce and disseminate accurate and reliable data and statistics; Producing statistical products, including dashboards and other similar tools. -OR- B. Education: Completion of two (2) academic years of graduate-level education, or a master’s degree or equivalent graduate degree from an accredited college of university directly related to the work of the position (e.g., accounting, banking, business administration, commercial or banking law, data science, economics, econometrics, finance, marketing, public policy, or statistics) -OR- C. Combination of education and experience as described above in options “A” and “B”. Note: Less than one year of specialized experience may be combined with graduate education more than the amount required for the next lower grade level. One academic year of graduate education is the number of credits hours determined to represent one academic year of full-time study (i.e., 18 semester hours (or 27 quarter hours). **Failure to provide your transcripts, when required, for any of the options above will remove you from the hiring process.** Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The Economist/Statistician applies their knowledge and skills to conduct tasks and projects related to the lifecycle of data, research, and analysis, and to lead production, dissemination, and promotion of accurate and reliable mortgage and housing data and statistics.