This position is located in the Division of Insurance and Research, Large Data Management Section leading the performance of complex analytics, including the use of machine learning and artificial intelligence techniques, on large datasets to support the mission of the division and the Corporation.

Duties

- Provides technical leadership and serves as team lead on complex data analysis projects, including projects that use complex analytic approaches common to the field of data science including AI/ML techniques, natural language processing (NLP), statistical analysis, geographic analysis, data visualizations, and application/model development; to identify and monitor risks to the financial system and the deposit insurance fund, and to inform the development of banking policy and the conduct of supervision and resolution- related activities.

Requirements

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 Requirement: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. -OR- B. Combination of education and experience: Courses must be equivalent to a major field of study (30 semester hours) in Mathematics, statistics, computer science, data science or field directly related to the position. In addition to the basic requirements stated above, applicants must also possess specialized experience. To qualify for the CG-15, applicants must have completed at least one year of specialized experience equivalent to at least the 14 grade level or above in the Federal service.  Specialized experience is defined as, 1) developing, deploying and or supporting artificial intelligence or machine learning models; 2) writing code (a) to conduct analyses using machine learning algorithms or (b) to create, deploy or maintain data pipelines using Python, SQL, R, Apache Airflow, or Microsoft Azure technologies such as Azure Databricks; and 3) developing geographic information system (GIS) solutions or visualizations using technologies such as Google Maps API, ArcGIS, Tableau, or Microsoft Power BI. Applicants must have met the qualification requirements (including selective placement factors – if any) for this position within 30 calendar days of the closing date of this announcement. Applicants eligible for ICTAP (Interagency Career Transition Assistance Program) must achieve a score of 85 “well qualified” for this position. For more information, Click Here.

Education

There is no substitution of education for the experience for this position.

Contacts

• Address Federal Deposit Insurance Corporation FDIC Human Resources Branch 15 Braintree Hill Office Park Room 300 Braintree, Massachusetts 02184 United States
• Name: Katherine Filipe
• Phone: 617-347-2845
• Email: [email protected]