Job FDIC seeks analyst, consumer researcher
Data Wrangler for Leveraging Data Google group
Overview
Open & closing dates
01/24/2019 to 02/06/2019
Service
Competitive
Pay scale & grade
CG 14
Salary
$123,729 to $206,237 per year
Appointment type
Permanent
Work schedule
Full-Time
Locations
1 vacancy in the following location:
- Washington, DC1 vacancy
Relocation expenses reimbursed
Yes Relocation benefits will be provided.
Telework eligible
Yes as determined by agency policy
Summary
This position is located in the Division of Depositor and Consumer Protection, Policy & Research, Consumer Research & Examination Analytics Branch in the Headquarters of the Federal Deposit Insurance Corporation.
Additional selections may be made from this vacancy announcement to fill identical vacancies that occur subsequent to this announcement.
Responsibilities
Provides guidance to the Corporation and respond to inquiries regarding ML/AI as these techniques relate to regulated institutions, particularly in the context of fair lending and consumer protection.
Collaborates in the design, development, and application of ML methods to address consumer research or examination analytics questions.
Serves as an internal expert on unstructured data analysis, e.g., natural language programming (NLP), deep learning, supervised and unsupervised ML, image/vision recognition, embedded word models, and entity extraction/sentiment mining and state-of-the-art pattern recognition techniques.
Conducts complex data analyses to support branch research and examination functions, including fair lending and unfair and deceptive acts and practices (UDAP), of potentially very large and complex datasets, with millions or billions of observations.
Develops and maintains expertise in the efficient use of a range of programming languages and statistical packages, including but not limited to: R, Python, SQL, Perl, Apache Spark, Stata, and SAS, including expertise in the Linux environment and shell scripting.
Leads collection, maintenance, and management of complex structured and unstructured data.
Communicates expert advice and analysis results orally and in writing to both technical and non-technical audiences.
Prepares and presents analysis for senior management. These analyses may support official meetings, publications, speeches, or Congressional testimony.
Travel Required
Occasional travel - This position requires overnight travel.
Supervisory status
No
Promotion Potential
14
Job family (Series)
Requirements
Conditions Of Employment
Employment Conditions.
Registration with the Selective Service.
U.S. Citizenship is required.Completion of Confidential Financial Disclosure may be required.
Moderate Risk Position - Minimum Background Investigation (MBI) required.
Qualifications
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. Additional qualifications information can be found here.
Basic Requirements:
Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.Evaluation of Education:
Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.Experience:
Applicants must have one year of specialized experience equivalent to the CG/GS-13 level in the Federal service. Specialized experience is experience performing each of the following: (1) conducting analyses using machine learning algorithms; (2) conducting analyses using large datasets with millions or billions of observations; and (3) writing code in at least one language to conduct analyses.For this posting, acceptable machine learning algorithms are neural networks, random forest, boosting, K-nearest neighbors, support vector machines, K-means clustering, and natural language processing.
For this posting, acceptable languages are Python, R, Julia, Matlab, Octave, TensorFlow, Apache Spark, Scala, Java, or C++.
Qualifications Required:
Applicants eligible for ICTAP (Interagency Career Transition Assistance Program) must achieve a score of 80 or higher in the online assessment to be determined “well qualified” for this position. For more information, click here.Education
Additional information
To read about your rights and responsibilities as an applicant for Federal employment, click here.
How You Will Be Evaluated
Your resume and the online assessment questionnaire will be reviewed to determine whether you meet the qualification requirements outlined in this announcement. Therefore, it is imperative that your resume contain sufficiently detailed information upon which to make the qualification. Please ensure that your resume contains specific information such as position titles, beginning and ending dates of employment for each position, average number of hours worked per week, and if the position is/was in the Federal government, you should provide the position series and grade level.
Your resume will also be evaluated to measure your responses to the assessment questions. If you rated yourself higher on the questionnaire than what is supported by your resume, your overall qualifications assessment may be adversely affected.
If you are found qualified, you will be placed in one of three categories: Best Qualified, Highly Qualified, or Qualified. These category assignments are a measure of the degree in which your background and responses to the assessment questions match the competencies/knowledge, skills, and abilities (KSAs) listed below. Within these categories, candidates eligible for veterans’ preference will receive selection priority over non-veterans.- Knowledge of machine learning and artificial intelligence principles and methods, and the ability to apply these concepts in the context of financial institutions data environment.
- Ability to perform a wide range of complex quantitative analyses with minimal supervision.
- Ability to think creatively, identify problems, devise solutions, and make sound assumptions in the absence of complete information, using strong analytic reasoning and problem-solving skills.
- Ability to efficiently use analytic software and programming languages. Proficiency in R, Python, or Apache Spark.
- Knowledge of high performance computing methods in a Linux environment, including parallel computation methods.
- Ability to effectively manage large databases on a parallel database appliance.
- Ability to make oral presentations, to relate findings and recommendations, and identify issues and problems clearly, concisely and effectively.
- Ability to develop written presentations, to relate findings and recommendations, and identify issues and problems clearly, concisely and effectively.
You do not need to respond separately to these KSAs. Your answers to the online questionnaire and resume will serve as responses to the KSAs.
To preview questions please click here.Background checks and security clearance
Security clearance