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Bachelor's degree or equivalent; advanced degree in related area(e.g. quantitative finance, economics, statistics, etc.) Credit risk modeling and stress testing experience a plus. Understand credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions.
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Master’s degree in Mathematics, Statistics, Engineering, Economics, or Quantitative Finance plus 6 years of financial risk modeling and credit risk analytics experience at or for a bank or financial service company is required.
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Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management. Credit Risk: Support step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis.
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Master's degree or equivalent experience in quantitative finance, statistics, Economics or a related quantitative field. The Housing Insights and Solutions team in Freddie Mac’s Single-Family Mission and Community Engagement Division offers research and technical expertise on housing data and policy issues with a focus on access to credit and underserved communities.
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Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988.
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Experience monitoring, forecasting, and measuring credit risk, conducting risk assessments, and identifying gaps in existing risk monitoring frameworks. Strong skills in data query and processing using such tools as SQL, Python, R or SAS.
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The Senior Credit Risk Analyst serves as the senior credit risk analyst for financial transactions. Assess the credit risk and other facets of risk of transactions that deploy partial credit guarantees and other tools, including conducting risk analysis and completing risk due diligence, in sectors including, but not limited to, agribusiness, energy, small medium enterprises, leasing, health, and education.
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Experience with complex, multi-layered real estate financing, preferably with the Federal Low Income Housing Tax Credit Program and affordable housing loan products. Bachelor's or Master’s degree from a top-tier university with coursework emphasis on Business Administration, Accounting, Finance and/or Economics.
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Bachelor’s or Master’s degree candidates with an academic focus on quantitative research (Economics, Finance, Financial Economics, Mathematics, Computer Science, Accounting, Engineering, Statistics, or related quantitative discipline.
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Must have experience with: (i) building loss forecast models for consumer lending products including mortgage, home equity, auto, and credit card; (ii) performing statistical analyses on loan loss exposure in retail lending products; (iii) working with large datasets (number of records >10MM or variables (>100.
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Master's degree in Business Administration (MBA), Finance, Economics, or related field, or the equivalent combination of education, training and experience. Advanced knowledge of, and extensive experience with, credit union or retail banking operations.
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Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
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If you are using foreign education to meet qualification requirements, you must submit a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. Veterans' Career Counseling: If you are a veteran interested in receiving tips on preparing a Federal resume and/or how to prepare for an interview, you may email sro_recruiting@ed.gov to schedule a session with a career counselor ("Veterans Counseling Session" should be placed in the subject line of the email.
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You will receive credit for all qualifying experience, including volunteer. This Job Opportunity Announcement may be used to fill other Statistician Demography , 1530 , 14 , FPL GS-14 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.
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Examples include but are not limited to: applying statistical methods to a specific subject matter area within the field of occupational health or aerospace/aviation programs; conduct strategic planning with respect to survey design, analytic direction, and workload management; conduct research into methodological issues in measuring biases in data from various subpopulation groups; serve as an expert consultant on the design of studies and data collection/sampling techniques.
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economics credit jobs in Arlington, VA
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