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The Risk Management & Compliance Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk. Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area.
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Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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The team works closely with BRMs, Global Information Security, Infrastructure operations, SAP BASIS team, Architecture, GBS IT PMO, Business Units/Divisions, and other Delivery organizations. Net technologies, EDI, data integration (via IIB, Informatica) and other Services.
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Required Qualifications: Degree in Computer Science, Computer Engineering, or other degree with a heavy emphasis on software development,Up to 4 years experience in a relevant role such as software or quant development, or similarExperience with C.
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TheRole: Software Development Engineer in Testing IIIThe Team:The Quality Engineering team works in partnership with other Technology Functions and the Business to ensure quality delivery of our products.
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This role is responsible for developing a data engineering and data science platform. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive.
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Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Will be working on the Big Data / Cloud / Data Science areas on a high transparency multiyear project in DTCC. Assists in the technical design of large business systems; builds applications, interfaces between applications, understands data security, retention, and recovery.
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Bachelor’s degree in computer science, Data Engineering, Mathematics, or a related field and 3-5 years of proven experience as a Data Engineer or similar role in data management.
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You will create a groundbreaking data science system for our hedge fund, playing a critical role in taking our business to the next level. This position requires a PhD and knowledge of computer science.
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Design, build, and maintain our analytics data warehouse to provide clean, accurate, and robust data sets to be leveraged by data science, analytics, and business intelligence.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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MongoDB is growing rapidly and seeking a Senior Software Engineer for the Machine Learning Platform team to be a key contributor to the critical data science and machine learning initiatives at MongoDB. The ML Platform team focuses on building a scalable, reliable, and flexible machine learning ecosystem encompassing key components such as model training, deployment, instrumentation and performance tracking in order to empower critical MongoDB product and business initiatives.
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Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
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Primarily focuses on developing highly resilient and scalable core data services on AWS cloud providing unified API interface across business domains. – Master’s degree in Computer Science/Computer Engineer is preferred.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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It means providing solutions that enable people across organizations, in multiple roles, the ability to turn data into actionable insights without having to wait for IT. And it means selling multi-award winning software, and world-class design practices that enables business analysts to ask new questions.
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data science business jobs Title: software in New York, NY
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