This position is located at Departmental Offices,Domestic Finance-Office of Financial Research. As a/an Economist (Quantitative Analyst - Interdisciplinary), you will serve as a Quantitative Analyst in the Office of Financial Research (OFR), Department of the Treasury, reporting to the Associate Director in an assigned section in the OFRs Research and Analysis Center.

Duties

The following are the duties of this position at the OR-53. If you are selected at a lower grade level, you will have the opportunity to learn to perform all these duties and will receive training to help you grow in this position. Manage and conduct, with others, highly complex analysis and technically demanding duties in support of OFR missions. Provide expertise as a subject-matter expert (SME) on specific datasets or econometric and statistical techniques applied in the financial sector. Retain sufficient financial sector knowledge or experience to readily and successfully apply these techniques to common financial data series such as financial statements and regulatory filings and reports. Plan, formulate, conduct, evaluate, and carry out a wide range of financial and technical research and analysis relating to assigned duties and responsibilities. Provide data, information, research, quantitative, and technical support on issues relevant to the OFRs research agenda.

Requirements

Qualifications

You must meet the following requirements by the closing date of this announcement. SPECIALIZED EXPERIENCE: For the OR-53, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the OR-52 grade level in the Federal service. Specialized Experience for this position includes: Independently utilizing quantitative methods from statistics, mathematics, or econometrics to research, analyze, develop reports and presentations addressing technical problems related to financial markets or financial institutions. AND Querying large data sets; utilizing SQL (MS SQL, PostgreSQL, MySQL, etc.) and NoSQL (HDFS/Hadoop, Hive, Pig, Impala, etc.) databases; with experience programming in Python and at least one of the following: R, Spark, Matlab, Stata, C, Perl, or Java; AND Experience independently performing analysis of economic, financial, or asset-pricing data using Stata, SPSS, SAS, or econometric methods. SPECIALIZED EXPERIENCE: For the OR-52, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the OR-51 grade level in the Federal service. Specialized Experience for this position includes: Using quantitative methods from statistics, mathematics, or econometrics to conduct research and analysis of technical problems related to financial markets or financial institutions; and developing written reports and presentations of methods and findings from the analyses, AND Querying data sets; working with SQL (MS SQL, PostgreSQL, MySQL, etc.) and/or NoSQL (HDFS/Hadoop, Hive, Pig, Impala, etc.) databases; and programming in Python with experience in one of the following: R, Spark, Matlab, Stata, C, Perl, or Java; AND Analyzing economic, financial, or asset-pricing data using Stata, SPSS, SAS, or econometric methods. SPECIALIZED EXPERIENCE: For the OR-51, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the OR-50 grade level in the Federal service. Specialized Experience for this position includes: Experience querying data sets; working with SQL (MS SQL, PostgreSQL, MySQL, etc.) and/or NoSQL (HDFS/Hadoop, Hive, Pig, Impala, etc.) databases; and programming in one or more of the following: Python, R, Spark, Matlab, Stata, C, Perl, or Java; AND Experience performing, under the supervision of senior staff, analysis of economic, financial, or asset-pricing data using Stata, SPSS, SAS, or econometric methods. OR 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree as described in the individual occupation requirements specified in this announcement. OR You may qualify on a combination of education and experience. To combine education and experience, the total percentage of experience at the required grade level compared to the requirement, as well as the percentage of completed education compared to the requirement must equal at least 100 percent. Only graduate level education in excess of the first 36 semester hours (54 quarter hours) may be combined to be considered for qualifying education.

Education

Individual Occupational Requirements:

Basic Requirements for Economist, 0110

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.


Basic Requirements for Mathematician, 1520:

A. Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. OR
B. Combination of education and experience -- courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education.


Basic Requirements for Statistician, 1530:

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, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. 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.

Contacts

• Address Domestic Finance-Office of Financial Research Administrative Resource Center Parkersburg, WV 26101 US
• Name: Applicant Call Center
• Phone: 304-480-7300
• Email: [email protected]