Market Data Statistician

U.S. Securities and Exchange Commission; Washington (District of Columbia); On-site; USD 75,000 - 95,000; Full time

Job summary

The U.S. Securities and Exchange Commission (SEC) Division of Economic and Risk Analysis (DERA) seeks early-career Statisticians to analyze high-frequency market microstructure data supporting rulemaking and oversight.

The role emphasizes data quality and monitoring new analytical tools, with opportunities to contribute to critical regulatory studies and program decisions. Applicants must meet strict qualification requirements, including graduate-level education in statistics/economics or a

Qualifications

• Requires a Ph.D. or equivalent doctoral degree or three years of progressively higher-level graduate education related to statistics or economics.
• Experience applying statistical techniques to large/complex datasets.
• Strong ability to communicate technical findings to non-technical audiences.

Responsibilities

• Evaluating economic data for trends, completeness, and accuracy; AND
• Applying statistical methods and procedures to analyze quantitative data; AND
• Interpreting statistical results to support studies, surveys, or program decisions.

Skills

Economic data evaluation

Statistical analysis

Technical communication

Education

Ph.D. or equivalent doctoral degree

Three years of graduate study

Job description

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. 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) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

MINIMUM QUALIFICATION REQUIREMENT

In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement.

SK-11

1. Evaluating economic data for trends, completeness, and accuracy; AND
2. Applying statistical methods and procedures to analyze quantitative data; AND
3. Interpreting statistical results to support studies, surveys, or program decisions.

Education:

Successful completion of a Ph.D. or equivalent doctoral degree, or three full years of progressively higher-level graduate education leading to such a degree, in a field directly related to the position.

ACCOMPLISHMENT RECORD COMPETENCIES:

• Statistical Expertise - Performs and interprets data analysis.
• Critical Thinking - Considers a variety of factors, general and subject matter-specific, when making decisions and determining next steps in a case.
• Technical Communication: Translates technical information into non-technical terms and accurately convey technical information to end users (e.g., staff, management) and outside parties, including the technical documentation of applications, systems, Standard Operating Procedures, etc.
• Workload Management - Effectively prioritizes workload in a way that accommodates unforeseen developments and achieves successful outcomes.