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Open to learning how to build predictive models using VBA, SQL, and SAS, Python or R. ACAS or FCAS designation, or commitment to attaining the FCAS designation. Master policy rerating tools and use them to produce estimated quotes for BOP and other small business commercial lines.
$100,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of SAS, SQL, R, Python, or other database programming languages. Conducts data research projects end-to-end by integrating, aggregating, or reassembling information from a variety of database sources and systems by writing database queries in SAS, SQL, R or other database query languages.
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Demonstrated knowledge of basic statistical concepts and programming language of analytical software, such as SQL, SAS, R, SPSS, or others. Experience building Tableau and/or Microsoft Power BI reports and dashboards.
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Experience with coding such as VBA, SQL, and/or other (e.g., SAS). Requires a BA/BS in Finance or related field and a minimum of 3 years of experience with Pharmacy Benefits Manager (PBM), data analysis; or any combination of education and experience, which would provide an equivalent background.
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Understands and communicates the impact of credit risk management strategies, research, and outcomes in support of initiatives and proposals, as aligned to key business, product and consumer drivers. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
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Demonstrate use of data visualization (Power BI, Tableau, Excel), and analytic tools (R, SAS, JMP, Python, Spark) to grasp the business insights from our mountain of data. Data management and visualization skills / tools (SQL, KNIME, Spotfire, Power BI or similar.
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Minimum of 3 years of US and/or Global Data Operations + ETL including Informatica, SAS, Clover or Pentaho, XML, & MYSQL/SQL experience. Minimum of 3 years of US and/or Global Data Operations + ETL including Informatica, SAS, Clover or Pentaho, XML, & MYSQL/SQL experience.
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Coordinates and/or initiates data management and automation activities utilizing advance data management tools (including but not limited to Excel, VBA, SAS, SQL). Coordinates and/or initiates data management and automation activities utilizing advance data management tools (including but not limited to Excel, VBA, SAS, SQL.
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Experience leveraging SAS, SQL, Python, or R for data analysis/analytics is required. Experience with SAS, R, Python, or VBA is preferred. Experience with SAS, R, Python, or VBA is preferred.
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Experience with VBA, SQL, SAS, R and/or Python. experience with VBA, SQL, SAS, R and/or Python. advanced degree in statistics, mathematics, economics, actuarial science, or other related fields.
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1+ years of experience with SQL, SAS, Python, Alteryx and/or Tableau. 1+ years of experience with SQL, SAS, Python, Alteryx and/or Tableau. The Home Equity, Credit Card & Unsecured Lending Strategy Team at Citizens Bank is responsible for advising senior leadership via analytic insights, directly influencing both the day-to-day and the long-term business strategy.
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Data analysis experience is a benefit (e.g., SQL, Alteryx, Power BI, SAS, Tableau, Python). Data analysis experience is a benefit (e.g., SQL, Alteryx, Power BI, SAS, Tableau, Python). Professional quality/risk/audit/compliance/technology-related certifications are a benefit (e.g. Six Sigma, CPA, CIA, CISA.
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Advanced working knowledge of one or more of the following quantitative programming, data analysis, database skills, numerical and statistical tools such as: Stata, VBA, R, SAS, Python, SQL, and/or MATLAB strongly preferred.
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Must be proficient in VBA, SQL, SAS, R and/or Python. Midwest insurance company has a great opportunity for an Actuary - Predictive Modeler who will perform commercial lines predictive analytics as well as actuarial analyses related to rate adequacy, competitive market position, model bias, and residual lift.
$180,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We provide equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation, gender identity and transgender status; religion; national origin; age; disability; military service; veteran status; pregnancy; AIDS/HIV or genetic information; or any other basis prohibited by law.
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