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Develop and implement quantitative risk models and methodologies specific to structured credit instruments such as residential mortgage-backed securities (RMBS), asset-backed securities (ABS), and collateralized loan obligations (CLOs.
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Code, collect, clean, and manage quantitative data and perform statistical analysis, modeling, simulation, or simple forecasting using standard statistical packages, such as Excel, SAS, R and Stata.
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Collaborate with quantitative research and intelligence teams to identify and validate trends. Familiarity with quantitative research basics. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike.
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Knowledge of quantitative and qualitative data collection techniques, methodologies, equipment, processes, and procedures · Experience with at least one data processing/statistical package or programming language (e.g., SPSS, SAS, Stata, R, Python) · Ability to multitask, pay attention to detail, and exhibit excellent customer service.
$64,000 - $78,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have strong interpersonal and quantitative skills, programming experience, some experience in psychology or neuroscience research, and an interest in clinical applications of computational/ cognitive neuroscience.
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Monitor and work closely with the Classic Team and PEC Workshop Team to achieve the Porsche Classic and Factory Restoration qualitative and quantitative targets (KPIs). Minimum 5 years Porsche Technician working experience and Classic Porsche Restoration & Repair.
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Experience ensuring that study data and systems are maintained and accurately documented, with demonstrated proficiency at data management tasks, including entering and cleaning data in quantitative software and databases such as Qualtrics, REDCap, SPSS, and/or Excel.
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Education: Preferred Master's degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: Tableau, Palantir, Power BI, Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
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Prepare documentation to support National Environmental Policy Act (NEPA) and similar environmental review documentation for aviation projects, which includes preparing quantitative, qualitative, and spatial analyses for the planning-related chapters, including land use, zoning and public policy; community facilities; open space; socioeconomic conditions; shadows; urban design; and infrastructure.
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Minimum of 2 years of biochemistry, analytical chemistry (quantitative analysis) or molecular biology laboratory experience. Minimum of 2 years of biochemistry, analytical chemistry (quantitative analysis) or molecular biology laboratory experience.
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Experience & Skills Creating and/or using ESG research/data Previous experience in institutional investment management Familiarity with domestic and global financial services Knowledge of ESG initiatives and reporting frameworks Written content creation for clients Demonstrated creativity, imagination, and a willingness to challenge the status quo Quantitative analytical skills Passionate about ESG and Responsible Investing and dedicated to this career path.
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Conduct qualitative, quantitative, and statistical analyses and employ predictive analytics to inform decision-making with stakeholders. As our primary divisions Cox Automotive and Cox Communications drive new waves of innovation, Cox Enterprises is entering spaces like cleantech, healthcare, esports and more.
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Our goal is to deliver best in class trading solutions that empowers traders, trade management and the quantitative research teams to perform at the highest level. Work closely with business analysts and product owners to apply data mining, quantitative analysis, and advanced modeling that translate into actionable insights.
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Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
$99,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Lead Business Analyst will collaborate with cross-functional ICE Data Analytics Products, Engineering, Data Operations, Quantitative and QA teams to perform analysis for development of tools and reports as they relate to the Fixed Income Analytics in order to achieve key management objectives.
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quantitative job in Atlanta, GA
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