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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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Masters or doctoral degree or equivalent experience in data analytics, pharmacoeconomics, pharmacoepidemiology, public health, public policy, economics, behavioral or social sciences, or other relevant disciplines.
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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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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 13 days ago - UpvoteDownvoteShare Job
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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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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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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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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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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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Economics, Political Science, Public Policy, International Development, International Affairs, International Public Health) with five years of work experience or Bachelor’s degree with ten years of experience.
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The fast-paced, collaborative teams within USAID’s Office of Policy Implementation and Analytics need a sharp, clear-eyed advisor to oversee a policy portfolio focused on global health priorities including primary health care and global health security.
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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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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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