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Bachelor’s or higher degree in Computer Science, Mathematics, Physics, Quantitative Finance, Engineering, Statistics or equivalent field, with significant coursework or equivalent experience in programming, modeling, simulation and statistical techniques.
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Will develop tactical study plans to answer business questions, perform quantitative research, and provide written summaries of study results. Master's degree/PhD in Statistics, Mathematics, Physics, or related STEM field.
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Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred. The Sr. Quantitative Portfolio Analyst will be responsible for supervision and implementation of quantitative portfolio management for retirement management account and non-discretionary model portfolios.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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Candidates are expected to have a PhD degree from a quantitative field, such as Biomedical informatics, computer science, engineering, computational biology, applied mathematics, statistics, applied physics, etc.
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Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science) Proficiency in visualization tools (e.g. Tableau, R-shiny, streamlit) and libraries (e.g. - matplotlib, bokeh.
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Bachelor’s degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science. 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis.
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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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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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Bachelor’s Degree in a quantitative field (e.g. computer science, economics, statistics, mathematics, etc.) Serve as a key contributor to system implementations including CRM, CPQ, Learning Management Systems, public website & embedded tools, document management system and other applications.
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Enrolled Agent - Professional Certification in Project Management (PMP) - Six Sigma Black Belt/Lean Black Belt/Master Black Belt - UX Certificate - Nielsen Norman Group - Agile Product Management - Alteryx Designer Advanced Certification - Chartered Financial Analyst - Masters - Business Administration, Economics, Finance, International Business, Tax, Computer Science, Information Science, Mathematics, Statistics, Science in Business Analytics (U.S. institution.
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Master’s degree in a quantitative field (Mathematical Finance, Computational Finance, Computer Science, Finance, Statistics, and Mathematics). Detail oriented, with strong problem-solving abilities and quantitative/analytical skills.
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BS Degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.) Master’s degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.
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Master’s degree in applied mathematics, data science, natural sciences, computer science, engineering, statistics, public health, epidemiology, economics, or a related field required; comparable work experience may be substituted for Master’s degree.
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Qualifications and Education Requirement:Must be a U.S. citizenBachelor’s Degree, Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines; MA/ MS preferredMinimum of five years of experience manipulating data sets and building statistical modelsFamiliar with the following software/tools:Coding knowledge and experience with several languages: C, C.
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