This position is located in the Division of Resolutions and Receiverships, Washington DC or Dallas TX, of the Federal Deposit Insurance Corporation and provides support in the areas of AMM program financial modeling needs including big data management, probabilistic modeling, structured finance modeling, and data science techniques and provides reports, recommendations, and presentations to management.

Duties

Leads the development of auditable, flexible, repeatable, and scalable extract transform and load (ETL) or extract loan transforms (ELT) capabilities on structured and unstructured data sources in a variety of formats from multiple sources. Advises on the potential benefit in developing and implementing lifecycle and analytic tools for a wide range of systems, applications, and end-users to improve the efficiency of program operations.  Analytic tools include artificial intelligence/machine learning (AI/ML) models, data visualizations, and other analysis supporting research, policy and risk assessment for insurance, supervision, and resolution activities. Identifies and applies complex analytical techniques such as statistical and econometric analysis, machine learning algorithms, data missing, metadata management, and data standardization to data management and banking industry matters and trends. Gathers, analyzes, and presents a wide range of financial information pertaining to FDIC insured commercial banks and thrifts, asset resolution strategies, financial market benchmarks, industry trends as well as state and regional economic conditions to specific FDIC risk exposures, and reports findings, conveys complex financial concepts and conclusions to Branch, Division and Corporation senior management, and translates results of analysis into clear, actionable communications that equip business decision makers to make informed, data-driven decisions. Analyzes a variety of data sources to provide data-driven analytical software to programmatically prepare, clean, and augment imperfect data (using techniques of probabilistic matching, imputation of missing values, etc.) for business analytics, including the valuations of assets and liabilities for FDIC financial statements in conjunction with other divisions and stress tests and analyses to senior management on various economic scenarios based on the  PD/LGD framework for projecting credit losses on commercial bank loan assets such as single-family, commercial real estate, construction and development loans, etc., based on historical performance data.

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 Requirements: 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 Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Specialized Experience: To qualify, applicants must have completed at least one year of specialized experience equivalent to at least the 12 grade level or above in the Federal service. Specialized experience is defined as experience in 1) designing or developing data analytics/science financial related products using techniques such as probabilistic modeling, structured finance modeling, machine learning, or artificial intelligence; or 2) conducting analysis using software and/or programming languages such as SQL, Python, R or Apache Spark to test hypotheses and predict outcomes; or 3) using data tools and techniques to process large datasets into structured formats for matching, analysis, or estimation.

Education

See requirements stated under QUALIFICATIONS.

Contacts

• Address Federal Deposit Insurance Corporation FDIC Human Resources Branch Dallas, Texas 75201 United States
• Name: Derrick Carroll
• Phone: 678-916-2306
• Email: [email protected]