- Position Title
- QUANTITATIVE RESEARCH ANALYST (FELLOW)
- Agency
- Securities and Exchange Commission
- Announcement Number
- 20-EX-10811984 -CSS Opens in new window
- Open Period
- Tuesday, May 12, 2020 to Tuesday, June 2, 2020
For preview purposes only. To apply, please return to the USAJOBS announcement and click the Apply button.
Eligibilities
1.
Do you claim Veterans' Preference?
2.
Are you a current or former federal employee displaced from the agency hiring for this position? If yes, confirm:
To verify your eligibility, you must submit supporting documentation such as a Reduction in Force (RIF) separation notice or a Proposed Removal/Separation notice to include your latest performance rating (if the notice does not have this information included, you must submit a copy of your most recent performance appraisal) and a copy of your latest Notification of Personnel Action, Standard Form 50.
- you are located in the same local commuting area of the vacancy; AND,
- you are applying to a position that is at or below the grade level of the position from which you were or will be separated; AND,
- you are applying to a position that does not have greater promotion potential than the position from which you were or will be separated; AND,
- your last performance rating of record is at least fully successful or the equivalent.
To verify your eligibility, you must submit supporting documentation such as a Reduction in Force (RIF) separation notice or a Proposed Removal/Separation notice to include your latest performance rating (if the notice does not have this information included, you must submit a copy of your most recent performance appraisal) and a copy of your latest Notification of Personnel Action, Standard Form 50.
3.
Have you served on a Schedule C appointment or as a political appointee anytime within the last 5 years?
4.
Are you a current SEC employee?
To verify your eligibility, you must submit a copy of your most recent Notification of Personnel Action, Standard Form 50 (SF-50).
To verify your eligibility, you must submit a copy of your most recent Notification of Personnel Action, Standard Form 50 (SF-50).
Preferences
1.
Select the locations you want to be considered for. You must choose at least one location.
2.
Would you accept a term appointment?
Resume Certification
1.
From the options below, please indicate the choice that BEST describes your situation:
Assessment 1
Thank you for your interest in the Quantitative Research Analyst (Fellow) position with United States Securities and Exchange Commission. We will evaluate your resume and your responses to this Assessment Questionnaire to determine if you are qualified for this position. Your responses are subject to verification and please review your responses for accuracy before you submit this questionnaire.
1.
Basic Requirement: Applicants must possess one of the following to be qualified for the Quantitative Analyst (Fellow) position.
Select the statement that best describes your education and/or experience.
Select the statement that best describes your education and/or experience.
Please answer the following questions that describe your experience as it relates to your ability perform as an SK-14 Quantitative Research Analyst (Fellow).
Select “Yes” or “No” to the following question(s).
2.
Do you have one year of experience equivalent to the GS/SK-13 applying the theories, principles, and processes of quantitative research?
3.
Do you have one year of experience equivalent to the GS/SK-13 interpreting financial and securities industry data or analysis of data sets in science/engineering/applied mathematics/statistics?
4.
Do you have one year of experience equivalent to the GS/SK-13 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?
5.
Do you have one year of experience equivalent to the GS/SK-13 independently manipulating large data sets to develop hands-on programmatic applications of probability and statistics?