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Ability to engage and converse at all levels of knowledge: both with the economist community at the peer level and with colleagues and clients who do not have economics training or deep knowledge base.
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Cluster-Bachelors Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience. We are looking for a full-time front end developer to develop and maintain front-end client applications that interactively display rich meteorological and fire datasets.
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Bachelor's degree in economics, econometrics, mathematics, decision science, market research, business analytics or related field. With our recent acquisition of Elevar, a dynamic conversion tracking solution for fast-scaling e-Commerce brands, together we create an omni-channel powerhouse, and aim to provide data-driven insights and shape the future of customer engagement across all channels.
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Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred.
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Experience with advanced knowledge of psychometrics, econometrics, and biometrics such as validation of health measurement scales, longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis, real-world data analysis, and conjoint analysis.
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The Quantitative Analyst role requires a minimum of three years of business-related experience in asset management and a Master's or Ph. D. in Statistics, Mathematics, Finance/Financial Engineering, Economics, or a related field.
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Fluency in econometrics and demonstrated experience in supporting industry and cross-industry forecasts and statistical projections. Masters degree in Economics or related field. Ph. D. in Economics highly preferred.
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Cornerstone Research offers candidates pursuing doctoral studies in finance, economics, econometrics, accounting, or marketing the opportunity to join the firm for six to twelve weeks to gain first-hand experience in our work in the role of a Summer Associate.
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The successful candidate will serve as the US Chief Economist and Leader of Deloitte's Center for Economic Research. Leads the US Economic Research Center team, including the development of the research and publication strategy.
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Qualifications: Strong quantitative skills: Master’s degree in a quantitative discipline, including Financial Engineering / Operations Research/ Economics / Econometrics / Statistics / Mathematics, etc.
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The Department is looking for candidates who can effectively teach in primary fields (macroeconomics, applied economics, development economics, international economics, econometrics, and economic theory), especially at the principles and intermediate level.
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Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
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This track could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; international macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models.
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Expertise in one or more of the following: statistics, mathematics, systems engineering, risk quantification, econometrics, and data science. Cybersecurity Risk Engineers at the SEI use advanced skills in statistics, mathematics, risk analysis, systems engineering, economics and other technical fields in an interdisciplinary manner to help our government and industry clients research and solve cyber security challenges.
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Preferred Doctorate in Economics, especially in applied microeconomics, industrial organization, or causal inference econometrics. 4+ years of experience in economics, statistics, and causal inference, demonstrated through a combination of driving cutting-edge research into real-world impact, peer-reviewed publications, and public code projects.
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