The Vacancy Identification Number is: 784734
If you are not entitled to veteran's preference, mark "No preference claimed." Except for disabled veterans, (1) those who entered active duty on or after October 15, 1976, and before September 8, 1980, must have an authorized campaign badge; OR, (2) those who enlisted after September 7, 1980, or entered on active duty (through means other than enlistment) on or after October 14, 1982, must have (a) completed at least 24 months of continuous, active duty service AND have served in a campaign or expedition for which a campaign medal has been authorized; OR, (b) have served at least one day during the period for which a campaign medal has been authorized; OR (b) have served at least one day during the period of 08/02/90 through 01/02/92 AND have 24 months of continuous, active duty service, or been a reservist activated during that period. Persons who returned from military service at the rank of major, lieutenant commander, or higher are not entitled to veteran's preference except as disabled veterans.
In this section indicate if you are a surplus or displaced Federal employee requesting special priority consideration under the Career Transition Assistance Plan (CTAP) or the Interagency Career Transition Assistance Plan (ICTAP).
Note: To receive consideration for CTAP or ICTAP, you must submit the necessary supporting documentation. Refer to the "Benefits/Other" section for additional information and instructions.
1. Please select the item below that best describes your experience or education.A. I have one year of specialized experience at least equivalent to the GS/SK-07 level gathering, reviewing, consolidating, and reconciling financial information; applying analytical methods and techniques; conducting independent analyses and evaluations of financial matters, as directed; conducting economic research and obtaining information for assignments through available tools such as automated databases, historical files, and review of previous office operations and cases; preparing and providing progress reports, findings and recommendations to management upon conclusion of studies; preparing written products that accurately describe the issues or problems involved and present a clear explanation of the basis for conclusions drawn and recommendations made; with direct supervision, studying and recommending to the senior staff the resolution of the issues analyzed; and having practical experience in the use of statistical software (e.g., SAS, STATA) or computer programming languages (e.g., C++, R, SQL, MATLAB, Gauss, Excel/VBA) for economic and date analysis.
To further assess your qualifications for this position, please select one response from the list below that best describes your experience and/or training as it relates to each task. Darken the oval corresponding to that statement in Section 25 of the Qualifications and Availability Form C. Do not overstate or understate your level of experience and demonstrated capability. You should be aware that your ratings are subject to evaluation and verification based on the resume and other supporting documentation. Later steps in the selection process are specifically designed to verify your stated level of experience and demonstrated capability. Deliberate attempts to falsify information may be grounds for non-selection.A- I have not had education, training or experience in performing this task.
2. Independently compile and analyze complex and/or interrelated financial data.
3. Routinely develop specific objectives and devise new analytical methods and techniques used to identify and investigate complex issues with recorded financial transactions.
4. Review and analyze complex financial reports from various sources, verify correctness, and identify reporting discrepancies.
5. Initiate and implement innovative approaches to data analyses, visualization of information, and presentation of analyses results.
6. Gather, research, and/or analyze documents supporting recorded financial transactions.
7. Based on conditions and factors that relate to the subject transaction and related transactions, determine what information is required and collect data from many sources.
8. Review complex financial information, reconcile conflicting data, and analyze findings and/or collect data.
9. Review and analyze complex financial information using software such as MS Access, MS Excel and Business Objects.
10. Research, analyze and retrieve financial data to prepare accurate financial information reports for management.
11. Routinely create and design reports, spreadsheets and databases to organize, collect and retrieve financial data into reporting formats required by management.
12. Prepare internal and external correspondence as needed to obtain clarification of reported results.
13. Prepare and provide progress reports, findings and recommendations to management upon conclusion of studies.
14. Conduct special analytical studies and provide briefings on study results to senior managers.
15. Consult with internal and external project teams, managers and users to solve data problems and develop data analysis strategies and methods that inform decision making and influence results.
16. Review, analyze, evaluate and report on program accomplishments in financial terms to managers both internal and external to the office.
17. Conduct ad hoc briefings to clarify financial information for management.
18. Provide research support on complex empirical or theoretical studies, including analyzing, assembling and managing large datasets (e.g., millions of observations).
19. Participate as a member of a successful team of coworkers with diverse skills tasked with analyzing complex economic issues.
20. Work with staff of partner, stakeholder, and other organizations to plan, implement, and evaluate economic studies and projects.
21. Collaborate with agency staff, including economists with regard to carrying out pre-planned small economic studies or series of simple studies related to project or program issues and problems.
22. Independently compile and analyze complex and/or interrelated financial data from an electronic source.
23. Query and retrieve large data sets from various database formats.
24. Manipulate datasets to estimate metrics or to format it for analysis.
25. Utilize computer programming software (e.g., C++, R, Matlab) to merge trade and quote data together and with other financial data.
26. Program in SAS, MATLAB, Stata, CompuStat or similar languages such as R or C++.
27. Estimate regressions, hypothesis tests, or other statistics on large panels (millions of observations) of financial data such as trades, quotes, and orders.
28. Operate in a UNIX environment.