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Knowledge of structured products and/or risk management in a fixed-income environmentExperience with integrating data/memory-intensive processes into a cloud-based environmentis Why is This a Great Opportunity: Working for a profitable Asset Manager in Midtown, Manhattan with a flat structure that's expanding.
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We are responsible for managing the firm’s liquidity, funding, balance sheet and capital to maximize net interest income and return on equity through liability planning and execution, financial resource allocation, asset liability management, and liquidity portfolio management.
$115,000 - $180,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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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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We are growing our capabilities using artificial intelligence, natural language processing and machine learning. We are a dynamic, global, and diverse Organization, with a presence in over 60 Countries; covering all front post execution Operations teams including product aligned Middle Office groups, Settlements, Margin, Asset Servicing, Listed Derivative & Commodities Operations.
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In this role, you’ll make an impact in the following ways: Leads initiatives, provides strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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As a Quantum Computing Research Scientist – Executive Director within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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6+ year relevant experience in the financial services industry with specific focus on Treasury, liquidity risk management, stress testing, liquidity reporting and/or asset liability management. The ideal candidate will possess a strong foundation in data science, with proven expertise in statistical analysis, machine learning algorithms, and data visualization techniques.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
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Design and develop algorithmic trading strategies using quantitative analysis, statistical modeling, and machine learning techniques. In this role, you will collaborate with clients to design, develop, and implement algorithmic trading strategies across various asset classes.
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The Lead Group Manager is a strategic professional who closely follows latest developments in Asset Liability Management, balance sheet modelling, large language models, machine learning and business intelligence tools.
$500,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Proven experience with Big Data Analytics, Consumer Data Platforms, and Storage systems for media, entertainment, games, or sports, such as Content Lakes and Content Archives, as well as Media Asset Management (MAM) and Production Asset Management (PAM.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Through a highly effective Investment Process, they provide solutions across all product platforms and asset classes - equity, fixed income and alternative investments including structured products and specialty assets - through a comprehensive due diligence and oversight process for client portfolios.
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