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Credit toward meeting statistical course requirements is given for courses in which 50 percent of the course content includes statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements of business cycles, or courses in methods of processing mass statistical data, such as tabulating methods or electronic data processing.
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Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.PhD or master’s degree with 3-4 years’ experience in quantitative finance, economics, statistics or a related quantitative field, preferably in a large and complex financial institutionStrong written and oral presentation skills.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are accepting applications to teach in the following academic areas: Accounting, Behavioral Science, Econometrics/Statistics, Economics, Entrepreneurship, Finance, Marketing, Organizations and Strategy, Strategic Management, and Operations Management.
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MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields. MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields.
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Bachelor's Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering) Master's Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering.
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You have a bachelor’s degree in international development, public health, public finance, public policy, economics, statistics, or related field. We drive innovation: Our Accelerator builds the next generation of exceptional programs, taking an approach most similar to a venture capital model.
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Bachelor’s degree in public health, epidemiology, statistics, economics, data science, analytics or computer science required. Quantitative skills include the ability to create data visualizations, be facile with descriptive statistics, understand causative versus associative relationships and incorporate evaluations of various data collection methodologies into analytic assessments.
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Bachelor's degree or higher in quantitative finance, economics, statistics, applied mathematics, engineering or comparable area. Bachelor's degree or higher in quantitative finance, economics, statistics, applied mathematics, engineering or comparable area.
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Degree must have a quantitative focus (quantitative social science such as economics, computer science, physics, mathematics, engineering, statistics or related) The Data Scientist is responsible for assisting with analyzing the People's Republic of China (PRC)'s impact on development globally, a key and highly visible foreign policy issue within USAID. From day to day, you will work to translate large and complex datasets to produce insights and actionable recommendations to key stakeholders in USAID missions and leadership.
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BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: A Bachelor's degree (or higher degree) or a degree with a major or equivalent, or a combination of courses totaling at least 24 semester hours, in international law and international relations, political science, economics, history, sociology, geography, social or cultural anthropology, law, statistics, or in the humanities; or 12 semester hours in one of the above disciplines and 12 semester hours in statistics/quantitative methods.
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Bachelor's degree in a quantitative discipline (e.g., economics, engineering, mathematics, operations research, statistics or business) or a discipline that fosters problem solving, structured thought and creativity.
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This posting is for a Financial Systems Analyst in the STATISTICS PROGRAM MANAGEMENT OFFICE. Position Requirements REQUIRED: Strong critical thinking skills typically acquired through the completion of a Bachelor's Degree in the liberal arts (i.e., economics, political science, history, philosophy), finance, accounting, business administration, public policy, or equivalent work experience.
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An amazing candidate has a background in information systems, data science, applied statistics, economics or a related quantitative field, strong business instincts, proven data visualization skills, experience as a trusted advisor to executives, and deep technical abilities.
$137,000 - $202,900 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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An advanced degree (PhD. or Masters) in a quantitative field such as Statistics, Economics (with an Econometrics emphasis), Applied Finance, Engineering, or Computer Science. As a Principal within the Enterprise Model Risk function, you will be a Model Validator who plays a key role on a Model Validation team, ensuring that models are operating as intended, have been well-designed using sound application of statistical model development and econometric model-building practices, and are appropriate for their proposed model usages.
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Advanced degree in operations research, applied mathematics, statistics, economics, business analytics, engineering etc. Experience analyzing paid media, digital analytics and email marketing data using ESP or Ad serving data and Adobe Experience Cloud or Google Analytics.
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