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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Skills Required: Requires experience in the following: Enterprise risk management; Combination of Market Risk and Credit Counterparty risk; non-linear traded products; Sovereign and Macroeconomic data trend analytics; Quantitative model validation; Python; R; Tableau; VBA; Alteryx; Statistical Computing; Econometrics; Data science analytics; Java; SQL; MATLAB; Project Management; Model Documentation; Bloomberg; Content Visualization.
$168,000 - $206,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Center for Data Science (CDS): The recently established CDS is working to formally establish a datacentricresearch ecosystem at Rutgers RBHS, to better facilitate the acquisition, management, analysis, anddemocratization of biomedical research data.
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You will partner with engineering and data science to marketing and product management – and develop the knowledge and skill to be a trusted technical advisor across a wide range of business areas.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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Must have 1 year of experience using database management software, statistical and predictive machine learning software, and link analysis/data visualization software. Alternatively, must have a Masters degree in Finance, Economics, Engineering, Statistics, Mathematics, Computer Science or a related field and 4 years of experience in data analysis, capture, transformation, and understanding business processes.
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Working directly with Senior Management, investment professionals and top executives from portfolio companies, the Data Scientist will be responsible for the implementation and ongoing operational readiness of an array of data science technologies and practices to enable the firm's ability to analyze complex data sources, develop predictive and analytical models, and advise on smarter data utilization.
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The candidate is expected to collaborate with several departments across Simulmedia including sales, client success, finance, product, data science and engineering - to ensure that ad campaigns deliver the desired business outcomes for our clients, and that we continue to differentiate our streaming advertising offerings in the marketplace.
$90,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Clinical Research Associate position is part of the Clinical Science Core (CSC) whose main purpose is to facilitate the acquisition of quality data for the neurocognitive and mental health measures obtained from pediatric subjects and their caregivers at the multiple hubs and sites that rely upon the CSC for central management of neurocognitive and mental health data acquisition.
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Provide Zoom classroom and one-on-one training for knowledge management system and legal research training. Preferred Requirements/Skills:-Master of Library Science (MLS) degree. -Acquire legal research data from diverse sources including books, Westlaw, PsycInfo, Lexis, web resources and other sources as necessary.
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As a key member of our Private Equity sector team, you will help private equity backed companies and their Sponsors navigate the complex world of modern data management, data engineering, data science, analytics, and emerging technologies.
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A Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience.
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Bachelor's degree in Renewable Energy Management, Environmental Studies, Environmental Science, Civil/Electrical Engineering, or related degrees. Conduct site identification for utility scale solar, wind and battery storage projects across the PJM Mid-Atlantic region using ArcGIS, Google Earth and other available data.
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Bachelor’s degree in statistics, actuarial science, mathematics, engineering or similar quantitative fields; or significant experience in advanced data analytics. Detailed understanding of statistical theory, predictive modeling, data mining and other advanced analytical techniques.
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data science management jobs in New York
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