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Advanced data analysis experience, with a demonstrated ability to conduct analysis with statistical programming packages, including at least one of the following: R (preferred), Stata, Python, MATLAB, SAS, SQL, or equivalent.
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Experience with large data sets, statistical analyses, and visualization as well as related tools (e.g. SQL, Python, SAS, R, Matlab, Tableau, Power BI, Spotfire). Experience with large data sets, statistical analyses, and visualization as well as related tools (e.g. SQL, Python, SAS, R, Matlab, Tableau, Power BI, Spotfire.
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Strong knowledge of programing languages (i.e. SAS/SQL/R, Visual Basic, Python) The US Treasury Department oversees the management and optimization of TD's balance sheet ensuring financial strength and stability in support of its businesses, including the development and implementation of treasury strategies, plans, standards and objectives for capital management, liquidity and funding, Asset and Liability Management (ALM), investment management, reporting and control, capital allocation and transfer pricing that maximizes risk adjusted returns.
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Advanced degree in related field and/or CPCU designationProficiency in SAS, SQL, R, Python, Snowflake, Visual Basic, Power BI and various structured analysis and design techniques.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) Excellent coding skills in Python, SQL, and Bigdata technologies. 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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Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS) Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS.
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Strong proficiency in data analysis tools such as Excel, SQL, and [any other relevant software, e.g., Python, R, SAS]. Strong proficiency in data analysis tools such as Excel, SQL, and [any other relevant software, e.g., Python, R, SAS.
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Python, R, SAS, and/or SQL.) Prior CAT experience is required, specifically experience with pricing CAT risks and using CAT models. A leading P&C consulting firm is seeking an FCAS with 8-15 years of experience to become their new Actuary.
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Experience with analytical (SAS, R, Python etc.) Experience with analytical (SAS, R, Python etc.) We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Technical ability with statistical software packages including coding, debugging, modeling and economic analysis with relevant programming languages (Python, R, SAS, SQL, etc. Demonstrated ability to perform quantitative analysis utilizing computation packages such as Python(numpy and pandas), R and SAS. Knowledge of relational Databases/SQL.
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It's an opportunity and challenge on an enormous scale using SAS, R/Python, Hadoop, MapReduce and every emerging platform that makes sense for a team that makes the big. It's an opportunity and challenge on an enormous scale using SAS, R/Python, Hadoop, MapReduce and every emerging platform that makes sense for a team that makes the big.
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Advanced knowledge of programming languages (i.e. SAS/SQL/ R, Visual Basic, Python) Prior experience and expertise with Tableau, Python, Alteryx, Databricks and Azure would be helpful in this role.
$95,264 - $155,376 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with the following tools and platforms will be required: SQL, Python, AWS Redshift, AWS Sagemaker , VSCode, Jupyter Notebook, Git , Azure, Pandas, Scikit-learn, tidyr, ggplot2, Tableau, TensorFlow, NumPy, R, SAS, Docker (a plus.
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C#, HTML, Python, R and/or SAS. Desired experience in one or more of the following Power Query, Power Pivot, Oracle, Access, Cognos, Google Analytics, SQL Server Analysis Services, Adobe Analytics or SAS JMP.
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Experience working with a variety of modeling tools and platforms commonly used in the insurance industry (e.g., SAS, R, Python, TensorFlow). Experience working with a variety of modeling tools and platforms commonly used in the insurance industry (e.g., SAS, R, Python, TensorFlow.
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