Description du poste
The Division of Economic and Risk Analysis (DERA) is seeking early career Statisticians with strong analytical skills and attention to detail. As a Statistician, you will be part of a team that manages and analyzes specialized, high-frequency market microstructure data to support the SEC's rulemaking and oversight mission. DERA emphasizes data and analysis quality, and monitoring advances in the tools available to analyze such data.
PRINCIPALES MISSIONS :
In this role as a Statistician, you will: Collect and prepare high-frequency market microstructure data for analysis (including quality assurance) and conduct statistical analysis on large panel datasets using programming languages such as Python, SAS, R, and SQL, including in cloud and big-data computing environments. Design, develop, maintain, and modify statistical models, metrics, and indicators of market quality and microstructure (e.g., spreads, effective spreads, and volatility) that support a variety of financial analysis areas. Automate data acquisition and processing and maintain well-documented, reproducible code using version control. Evaluate data, statistical methods, and applications, and coordinate with DERA financial economists and other Commission stakeholders to provide statistical advice and recommendations. Document analyses, technical notes, data sources, and programs; prepare training and reference materials; and present to colleagues and management, incorporating feedback into final products. Support analysis of new and emerging data sources and asset classes, including digital assets and tokenized securities. Participate in or lead independent applied research, including rapid-turnaround analyses supporting time-sensitive market events and Commission needs.
QUALIFICATIONS REQUISES :
Applicants are responsible for confirming all required materials are submitted by the closing date of the announcement. Please check the How You Will Be Evaluated and Required Documents sections carefully, as missing documents will render the application incomplete and ineligible for review. Qualifying experience may be obtained in the private or public sector. 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. All qualification requirements must be met by the closing date of this announcement. BASIC REQUIREMENT: A. Degree: 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) appl