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Bachelor’s Degree in a quantitative subject, such as Econometrics, Mathematics, Operations Research, Statistics, Economics or Finance. Reasonable familiarity with some statistical tools (SAS, R, Python) and data analytic/visualization tools such as SQL, Tableau, Excel and PowerPoint.
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Data science, machine learning, optimization models, 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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Expertise in an aspect of quantitative analysis, e.g., mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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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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And seven years of experience working in a data processing, analytical or computer programming function; OR Masters degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Economics, Finance, Industrial/Organizational Psychology and Econometrics, etc.
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Data science, machine learning, optimization models, PhD 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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Bachelor’s degree, Master’s degree, or evidence of expert skill in BI, data science, computer science, econometrics, operations research, statistics, Information Management, or related analytical field.
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An advanced degree in econometrics, economics, quantitative finance or another quantitative discipline. Our client, a leading Global Banking Group is looking for a VP Quantitative Analyst to join them as Model validator in the their Model Risk Management team in London.
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Preferred QualificationsEducation/Certifications:Doctorate in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study. Minimum QualificationsEducation/Certifications:Master's degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study.
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Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics a big plus. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes.
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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 RAs will be responsible for a wide range of support including, but not limited to, data gathering, econometrics, analysis of economic or statistical data sets, and basic programming for high-quality analyses.
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econometrics job
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