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Apply general knowledge gained from formal education in economics, econometrics, finance, applied mathematics, statistics, computer science/programming and/or related fields. Conduct empirical analysis and writes computer programs and code based on mathematical principles, using sophisticated statistical software tools such as SAS or STATA, other quantitative analysis tools such as ArcGIS, programming languages such as SQL Javascript, R, or Python.
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Our teams have expertise in advanced econometrics, macroeconomics and microeconomics, industrial organization, forecasting, policy analysis, computable general equilibrium modeling, complex valuations, cost-benefit analysis, and spatial modeling/statistics.
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Dive into investigations and collaborative problem-solving, where your insights as an expert in econometrics or neuropsychology help decode intricate financial schemes and understand criminal behavior.
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To perform in this role, the potential candidate will need skills in econometrics, statistical analysis, and modelling. We are seeking an experienced predictive risk modeler to perform risk assessment on FHA multifamily housing portfolio.
$200 - $250Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Stay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.
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Employer will accept a Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems or a related field plus 3 years of experience working in data science, analytics, and/or software development.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy.
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Knowledge of econometrics, forecasting techniques, and economic modeling. Reviews and prepares critiques of economic research relevant to the mutual fund or ETF industries. Undertakes tasks and assignments as directed by the Senior Director of Industry and Financial Analysis or the Chief Economist.
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Possible courses for instruction, depending on openings, are in the areas of Microeconomic Theory, Econometrics, Experimental Economics, and Math Economics. The Mason style of economics fuses traditional micro- and macroeconomics with scholarship in the fields of Public Choice (founded by Nobel Laureate and Mason Professor Emeritus James Buchanan), Austrian Economics, and Experimental Economics (the latter founded by Nobel Laureate and Mason Professor Emeritus Vernon Smith.
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Strong quantitative analysis abilities and expertise in econometrics, health services research, or related fields. Proficiency in SQL for data manipulation and statistical programming in R, Python, or Stata.
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B. Education: Completion of two (2) academic years of graduate-level education, or a master's degree or equivalent graduate degree from an accredited college of university directly related to the work of the position (i.e., applied economics, econometrics, financial economics, mathematics, data science, statistics, public policy or other fields related to the position.
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This is a unique opportunity for a bank/financial analyst or auditor with an understanding of model risk management and model validation or someone who is proficient in econometrics and the use of related techniques to understand and support Banking specific model validation activities.
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Our ideal candidate will have strong research and writing skills, as well as training in areas such as statistics, econometrics, psychometrics, qualitative analysis or cliometrics. Our ideal candidate will have strong research and writing skills, as well as training in areas such as statistics, econometrics, psychometrics, qualitative analysis or cliometrics.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience conducting independent research, particularly on climate resilience, international affairs, econometrics and/or geospatial analysis with a focus on national security. Experience conducting independent research, particularly on climate resilience, international affairs, econometrics and/or geospatial analysis with a focus on national security.
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econometrics job in Falls Church, VA
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