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Education: Bachelor's or Master's in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Data analytics experience in direct support if military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
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Lead payment model operations and technical assistance activities, including oversight of analytics to inform model operations, for value-based care initiatives. Masters or Ph. D. in health services research, public health, public policy, epidemiology, economics, statistics, or related field with six+ years of experience in a research, consulting, or business environment.
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Freddie Mac’s Enterprise Risk Management Division is currently seeking a Quantitative Analytics Senior to perform all tasks related to model validation to evaluate and manage model risks associated with company’s models.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Learn Business Analytics and work with monthly loan files for use in various applications including stress testing, ALM, CECL, and budgeting. BACKGROUND & COMPETENCIES: Bachelor’s degree in Finance, Economics, Mathematics, or related field 3+ years’ experience in a Treasury role Experience in Treasury Operations Understanding of banking, financial theory and analysis.
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This includes but is not limited to the model implementation, the model execution in the production environment, the process documentation and the conduction of related ad hoc analytics within the Quantitative Risk Management (QRM) framework under the supervision of manger or other senior stuffs.
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The position requires a Master’s degree or foreign equivalent in Economics, Finance, Engineering, Analytics, Mathematics, Science, Business Administration, or a related quantitative analytical field and two years of experience in job offered or performing business analysis of statistical and econometric data.
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Experience performing analytics using cloud computing platforms and services, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure is strongly preferred. Bachelor's degree with a strong academic record in economics, mathematics, statistics, public health, public administration, public policy, sociology, political science, or a related field; Master's degree preferred.
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Master's Degree and 3 years of focus experience post master's degree in data science/data analytics, quantitative survey research in Economics, Sociology, Statistics, Social Sciences, Community Psychology, Public Health, or related field.
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Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research or a related technical field. Expertise with one or more data analytics/programming tools such as R/Python.
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Bachelor’s Degree and 6 years of focus experience post bachelor’s degree in data science/data analytics, quantitative survey research in Economics, Sociology, Statistics, Social Sciences, Community Psychology, Public Health, or related field.
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Economics, Political Science, Public Policy, International Development, International Affairs, International Public Health) with ten years of work experience Relevant experience may be substituted in lieu of education requirement.
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The position is in USAID's Bureau of Planning, Learning, and Resource Management (PLR) in the Office of Policy Implementation and Analytics (PIA). Degree must have a quantitative focus (quantitative social science such as economics, computer science, physics, mathematics, engineering, statistics or related.
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Preferred Qualifications:Master's degree in computer science, data science, data analytics, business administration, economics, finance, statistics, applied mathematics or related field.
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