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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
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Deep knowledge of capital markets, derivatives (products and markets, trading/risk management, vanillas and exotics), applied mathematics, valuations models, numerical implementation methods.
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Strong background in applied mathematics: Understanding of numerical optimization and statistical modeling (Stochastic processes); Algorithm design / State estimation. Breadth and depth in the application of mathematics to perform data analysis and algorithm development for military applications.
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Bachelor’s or advanced degree in geophysics, engineering geology, applied mathematics or closely related technical field. Academic or industry experience in collecting and processing of a comprehensive range of land-based near surface geophysical data including seismic, EM, GPR, magnetic, gravity and resistivity for geotechnical and environmental applications.
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Bachelor s (Masters preferred) in a quantitative or computational field such as Computer Science, Applied Mathematics, Statistics, Engineering. We assist companies and non-profit organizations in delivering benefits to their employees.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields. Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred.
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Ph. D. or Master's degree from an accredited university in a quantitative field such as statistics, operations research, quantitative finance, econometrics, applied mathematics, computer science, or engineering.
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Educational background in Operations Research, Applied Mathematics, or Industrial Engineering is a plus. 5+ years of hands on experience with applied statistics / math and optimization techniques.
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Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R, and Python) along with applied mathematics, ML, and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks.
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Ideal candidates should hold a doctorate before the starting date in applied mathematics, computer science, economics, engineering, management science, operations research, statistics, or a closely related field.
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Bachelors degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis.
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8) Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Must have some experience with: Data analytics with Python programming; Data science solutions using Snowflake; Database development using Hadoop, SPARK, or BigQuery; Big data development using Hive, Impala, Spark, and Kafka; Mining platform solutions using data analytics and forecast algorithms; AND Agile scrum methodology to develop and support solutions using Big Data platform.
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Bachelors degree in Engineering, Computer Science, Operations Research, Applied Mathematics, Business or related field with a focus on data science / advanced analytics / AI / machine learning / IoT.
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A Bachelor's degree in a quantitative field (e.g., Statistics, Biostatistics, Epidemiology, Data Science, Computer Science, Applied Mathematics, Economics). 5+ years of experience in statistical programming/analyses (e.g., SAS, SPSS, Stata, Python, R, or MATLAB.
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