QUANTITATIVE RESEARCH ANALYST (FINANCIAL ENGINEER)
This position is in the Office of Clearance and Settlement (OCS) within the Office of Compliance Inspections and Examinations. A selection is being made in the New York and Chicago Regional Offices. OCS is responsible for examining clearing agencies, some of which have been designated as systemically important financial market utilities. OCS conducts risk management examinations, develops reports of findings, and provides advice and recommendations for examinations of registered and exempted clearing agencies. As an Quantitative Research Analyst (Financial Engineer), you will:
Provide on-going support for the twice yearly risk assessment of complicated registrants that are significant clearing agencies for both US and international markets. Communicate highly technical concepts and issues, including model parameters, to non-technical audiences in an examination context. Analyze large volumes of quantitative and qualitative data from different sources for examining the effectiveness of back-testing and stress testing. Perform a wide range of independent analysis of mathematical and risk systems and processes. Perform examinations to determine compliance to policy and procedure of the design and build of key quantitative systems, including margin models and clearance and settlement systems. Serve as the key quantitative examiner in evaluating the effectiveness of risk management methodologies related to the management of market, credit, operational and liquidity risk. Prepare written examination outcomes reports that are logically constructed, including deficiencies and observations, resulting from the analysis of the outputs of these applications; Develop and present authoritative analysis and reports resulting from examinations of the quantitative models used in risk management of SIFMUs. Identify deficiencies and areas that need improvement in quantitative models, including the empirical methodology and statistical inference used in these models. To determine potential examination deficiencies and observations, evaluate quantitative dashboards, quantitative metrics, data collection and mining systems, formal studies and registrant presentations. All qualification requirements must be met by the closing date of this announcement. 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. Qualifying education must have been obtained from an accredited college or university recognized by the U.S. Department of Education. BASIC REQUIREMENT:
All applicants must possess the basic requirement below. Degree:
Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and
Experience:
Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience. MINIMUM QUALIFICATION REQUIREMENT:
In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement. SK-14:
Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level. Specialized experience is includes the following:
Applying the theories, principles, and processes of quantitative research; AND Interpreting financial and securities industry data or analysis of data sets in science/engineering/applied mathematics/statistics; AND Independently developing, maintaining, and/or validating models used for forecasting, valuation, instrument strategy selection, portfolio construction or risk management using modern software languages such as Python, R, C/C++/C#, kdb+/q in UNIX/Shell environments; AND Independently manipulating large data sets to develop hands-on programmatic applications of probability and statistics.
Estimated Salary: $20 to $28 per hour based on qualifications.
Provide on-going support for the twice yearly risk assessment of complicated registrants that are significant clearing agencies for both US and international markets. Communicate highly technical concepts and issues, including model parameters, to non-technical audiences in an examination context. Analyze large volumes of quantitative and qualitative data from different sources for examining the effectiveness of back-testing and stress testing. Perform a wide range of independent analysis of mathematical and risk systems and processes. Perform examinations to determine compliance to policy and procedure of the design and build of key quantitative systems, including margin models and clearance and settlement systems. Serve as the key quantitative examiner in evaluating the effectiveness of risk management methodologies related to the management of market, credit, operational and liquidity risk. Prepare written examination outcomes reports that are logically constructed, including deficiencies and observations, resulting from the analysis of the outputs of these applications; Develop and present authoritative analysis and reports resulting from examinations of the quantitative models used in risk management of SIFMUs. Identify deficiencies and areas that need improvement in quantitative models, including the empirical methodology and statistical inference used in these models. To determine potential examination deficiencies and observations, evaluate quantitative dashboards, quantitative metrics, data collection and mining systems, formal studies and registrant presentations. All qualification requirements must be met by the closing date of this announcement. 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. Qualifying education must have been obtained from an accredited college or university recognized by the U.S. Department of Education. BASIC REQUIREMENT:
All applicants must possess the basic requirement below. Degree:
Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and
Experience:
Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience. MINIMUM QUALIFICATION REQUIREMENT:
In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement. SK-14:
Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level. Specialized experience is includes the following:
Applying the theories, principles, and processes of quantitative research; AND Interpreting financial and securities industry data or analysis of data sets in science/engineering/applied mathematics/statistics; AND Independently developing, maintaining, and/or validating models used for forecasting, valuation, instrument strategy selection, portfolio construction or risk management using modern software languages such as Python, R, C/C++/C#, kdb+/q in UNIX/Shell environments; AND Independently manipulating large data sets to develop hands-on programmatic applications of probability and statistics.
- Department:
1501 General Mathematics And Statistics - Salary Range:
$127,936 to $218,623 per year
Estimated Salary: $20 to $28 per hour based on qualifications.
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