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The Skills and expertise you bring:Advanced degree (Masters, Ph. D.) in a quantitative discipline (Mathematics, Statistics, Engineering, Physics, Computer Science, Data Science), or comparable experience.
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4 Year/Bachelor's degree (or equivalent) in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, or other quantitative major. 4 Year/Bachelor's degree (or equivalent) in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, or other quantitative major.
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Knowledge, Skills, and Abilities (KSAs): Information Gathering; Storytelling; Applied Data Analysis; Data Structures; Data Visualization Tools; Trend Analysis; Knowledge Management; Market Research; Managing Complexity; Project Management; Methodological Appropriateness; Quantitative Research Methods; Research Writing; Presentation Skills; Business Acumen.
$118,800 - $153,670 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in Computer Science, Mathematics, Machine Learning, Data Science, or a related quantitative field; Master’s or Ph. D. preferred. Drive applied science research to pioneer innovative algorithms and models for data-driven personalization.
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Bachelor’s degree or higher in quantitative finance, economics, statistics, applied mathematics, engineering or comparable area. Quantitative Risk Manager - Environmental Markets, Risk & Strategic Analysis.
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Extensive knowledge of basic sciences, including pure or applied physics and mathematics. Quantitative and qualitative research design and methodology. Fellowship position to train with child psychiatry staff and pediatric & psychiatry mentors to become a clinician and researcher in pediatric behavioral health.
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Preferred Qualifications:Advanced degree in applied mathematics, statistics, actuarial science, economics or related field. Minimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science or equivalent years of experience.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Bachelors degree (or higher) in a quantitative or computational field such as Computer Science, Statistics, or Applied Mathematics. 5+ years of hands-on experience working with investment management professionals preferably in building complex software solutions using analytical and quantitative concepts.
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An advanced degree (MS or PhD) in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative field. Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms.
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Bachelor’s degree in in a quantitative discipline: computer science, applied mathematics, statistics, operations research, information systems, engineering, economics, or equivalent.
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Bachelor s in computer science, applied mathematics, engineering, or other quantitative area or significant on-the-job experience. Bachelor s in computer science, applied mathematics, engineering, or other quantitative area or significant on-the-job experience.
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The Department of Mathematical Sciences is an internationally recognized center of excellence for research and education in contemporary mathematical sciences with an undergraduate program in mathematics, a Ph. D. program in mathematics, and master’s degree programs in mathematics, applied mathematics, data science, and in actuarial mathematics and quantitative risk.
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Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an equivalent quantitative fieldOutstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
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What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
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Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an equivalent quantitative field. Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
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