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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. How you will fulfill your potential: Develop software and analytics to progress Corporate Treasury’s mandates: interest rate pricing & risk management, trade execution, funding optimization & liquidity risk management and cash & collateral management Optimize the firm’s liability stack by developing balance sheet analytics and hedging strategies Actively engage with Corporate Treasury Trading, supporting valuation and risk/P&L reporting.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Work Experience: + years in Model Development and/or Validation of, Compliance, transaction monitoring, Below the Line testing, and Risk Management function at an investment bank or hedge fund.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
$333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial IntelligenceProven and thorough knowledge of operational metrics to support strategic plans, dashboard design and benchmarking/standard industry practices.
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Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows. Positions are located in the following cities:McLean, VirginiaWashington, D.C.Huntsville, ALBrownsville, TXNYC, New YorkAbout the RoleIn this opportunity as an Analyst, you will be responsible for performing a wide range of work, from due diligence assessments to threat management reports.
$151,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep interest in AI capabilities: the technologies (e.g. machine learning, deep learning, and neural networks) and the emerging field (e.g. GenAI, AI Governance, Explainable AI (XAI.
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We optimize our clients’ experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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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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Desired Skills:- Demonstrated experience in delivering Machine Learning & Artificial Intelligence use cases for Banking/ Finance industry, a plus- General knowledge of process improvement frameworks (Lean, Value Stream Mapping) and or exposure to process management and automation tooling (Celonis, UiPath, Camunda)Bachelor's Degree Preferred.
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Work Experience: 10+ years in Model Development and/or Validation of, Compliance, transaction monitoring, Below the Line testing, and Risk Management function at an investment bank or hedge fund.
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Experience in the data science and commercial application side of AI is of higher preference than working with machine or deep learning directly. This will create a paradigm shift for humanity, positively impacting everything from drug discovery to disease management.
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machine learning management jobs in New York, Columbia, Missouri
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