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Working knowledge of vendor applications such as MSCI Risk Metrics Analytics, mOLAP solutions (Oracle Hyperion Essbase, AcvtiveViam Atoti or other), cros-asset front-to-back Trading platforms (Calypso, Murex, ION, Sophis, etc.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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Data Engineering & Analytics Lead Are you a skilled, experienced Data Engineering & Analytics professional seeking a leadership position in the healthcare industry? If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Computer Science, Statistics, Mathematics, Physics, Econometrics, Computer science or Engineering, Business / Economics. The successful candidate must demonstrate strong background in technology, data analytics, software development, and programming languages such as R, Python and SQL, with expertise in Business Intelligence tools (Shiny, Tableau, PowerBi.
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Education: B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer scienceSeniority: minimum of 2 years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc.
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Bachelor’s degree in Environmental Science, Industrial Hygiene, Engineering, Chemical, Biological or Physical Sciences, Statistics, Mathematics, Safety management or a related field or an equivalent combination of education from an accredited college and experience may be considered in lieu of a degree; and.
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Independently utilizes engineering, construction, DEP, and other standards and practices related to hydrology, hydraulics, structural engineering, and geotechnical engineering to analyze plans submitted to the Plan Review unit.
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EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.
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They should have a solid grasp of financial operations, payment systems, web2, and web3 protocols, and possess excellent communication skills to interact with stakeholders across sales/trading, operations, legal and compliance, along with engineering teams.
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Support the integration and release of quant code into production systems in association with our Model Validation and Engineering partners. Bloomberg's Quantitative Analytics team is responsible for the design and implementation of modeling analytics that support client pricing and risk management solutions for financial products across the entire suite of Bloomberg products and services, including its terminal with 300,000+ clients, trading system solutions, buy and sell-side enterprise risk management, and derivatives valuation services.
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Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Team Overview: Morgan Stanley Electronic Trading Infrastructure is looking for a hands-on Senior Systems Linux Systems Hardware Engineering Specialist. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools.
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This includes defining the problem, establishing the work scope, preparing the budget and schedule, planning the work, providing technical direction, and reporting the work statusWhat Required Skills You'll Bring:Bachelor’s degree in geology, environmental engineering, civil engineering, geotechnical engineering, environmental science, or other closely related technical degree typically 10+ years of related work experience.
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analytics statistics systems engineering jobs Company: Pwc in Bronx, NY
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