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Proficient in programming and data analysis e.g., R, Python, SQL. Familiarity with data visualization tools such as Spotfire or Tableau is a plus. Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analytics and data management within a financial services environment.
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Demonstrated Expertise ("DE") conducting and streamlining quantitative research on signals and factors using data science techniqueslarge dataset manipulation, and econometrics/ statistical techniques (macro/micro economic reasoning, multivariate regression, and statistical Machine Learning (ML.
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DE writing complex T-SQL/PLSQL queries and scripts to insert and extract data into/from large data sets within relational database environments (DB2, Oracle, Sybase, and MSSQL); and writing stored procedures to insert and maintain data.
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Job Description: Vice President (Team Lead), Quant Data Engineering The Role The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of leading a team building a world-class data environment.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to join our team to help deliver customer facing AI models into production.
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Job Description: Reporting directly to Fidelity Real Estate Company’s (FREC) Global Head of Engineering, you’ll be responsible for delivering 100% uptime by leading a team of operating engineers responsible for the day-to-day operation of mechanical, electrical, plumbing and fire protection systems at the data center.
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By applying, you consent to your information being transmitted by beBee to the Employer, as data controller, through the Employer's data processor SonicJobs. 10+ years of IT experience with 3+ years of extensive experience on Cloud platform and cloud technologies/servicesExperience in building resilient cloud architecture, site reliability engineering and exposure to Observability.
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Job Description: The Role The Engineering Manager provides technical guidance across data center engineering operations. The Expertise and Skills You Bring This position will be filled by an experienced Engineering manager that has demonstrated complete knowledge in data center electrical and mechanical equipment and systems.
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Superior SQL skills and experience developing data transformation pipelines multiple database platforms. The squad intends to use cloud technologies and deploy solutions using all current software engineering principles.
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DE performing mainframe performance tuning and capacity planning within TSO and MVS operating system environments, and reducing I/O, CPU Time, Million Service units (MSUs), and Million instructions per second (MIPs), using Strobe, iStrobe, Platinum Detector, and TMON.·DE building applications and performing integration, testing, delivery, and deployment of mainframe components for Web-based applications, using Insomnia, Stratum, Postman, and Data studio.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Software Engineer/Developer (or closely related occupation) developing Microservices and RESTful webservices based applications using Java and Golang technologies.
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