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Education: Bachelor's or Master's in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.
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Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
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This includes but is not limited to the model implementation, the model execution in the production environment, the process documentation and the conduction of related ad hoc analytics within the Quantitative Risk Management (QRM) framework under the supervision of manger or other senior stuffs.
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Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field. As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Bachelor's degree required, with a concentration in Accounting, Finance, Economics, Applied Mathematics, Analytics, Business Administration, Hotel/Hospitality Management, Operations Management, or equivalent preferred.
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Preferred majors: computer science, information technology, information security, finance, HR or procurement, data analytics, data science, business management, economics, marketing, user experience design, or statistics.
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Must have a Bachelor’s degree in Data Science, Business Analytics, Economics, Finance, Mathematics, Statistics, Computer Science, Information Technology, Computer Engineering or a related quantitative field and 3 years of related work experience.
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Experience with Databricks, Qlik, and the Advana analytics platform. This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense.
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AvalonBay Communities, Inc., an equity REIT, has a long-term track record of developing, redeveloping, acquiring and managing distinctive apartment homes in some of the best U.S. markets, and delivering outsized, risk-adjusted returns to shareholders.
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The position requires a Master’s Degree or foreign equivalent in Statistics, Mathematics, Economics, Finance, Engineering, Analytics, Information Technology, Science, or a related quantitative analytical field and two years of experience in job offered or statistical analysis.
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Master’s degree in Mathematics, Statistics, Engineering, Economics, or Quantitative Finance plus 6 years of financial risk modeling and credit risk analytics experience at or for a bank or financial service company is required.
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Must have experience with: (i) building loss forecast models for consumer lending products including mortgage, home equity, auto, and credit card; (ii) performing statistical analyses on loan loss exposure in retail lending products; (iii) working with large datasets (number of records >10MM or variables (>100.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Business Analyst - People Strategy & Analytics. People Strategy & Analytics is an emerging field where Capital One is on the leading front.
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Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Education: At a minimum, must possess a Bachelor's degree in Engineering, Physics, Chemistry, Operations Research, Mathematics, Finance, Economics, or Business Administration. Of that, the PM must have a minimum of 15 years of systems engineering and analysis, technical & intelligence analysis, operations research, data analytics/science, or cost analysis experience.
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