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Statistics, probability based calculations, and stochastic calculus; Data analysis, times series analysis and machine learning skills; Fixed income market data and fixed income financial product knowledge; Investment and quantitative methods; Risk management, portfolio optimization and strategy research.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Utilizing Databricks (for processing and transforming massive quantities of data and exploring the data through machine learning models) Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
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In our Transunion proprietary analytics platform implement multi-touch attribution models (MTA) and marketing mix models (MMM) that are based on statistics, econometrics, and/or machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, etc.
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Develop machine learning models to analyze data, identify trading signals, and generate alpha. A prestigious global hedge fund is hiring a senior quantitative researcher to join a growing trading team on a number projects in machine learning, deep learning, and NLP.
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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.
$115,000 - $180,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Reporting to the Director of Learning & Development, the Learning and Development Sr. Manager will also be responsible for the development of learning strategies and initiatives on a FanDuel enterprise level.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
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Collaborates, with Machine Learning engineers, data scientists and developers to integrate linguistic principles into development. As a Product Manager Natural Language Understanding & Linguistics Lead in the Machine Learning & Optimization team, you are an integral part of the group that optimizes product features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Facilitate the design, development, and fine-tuning of machine learning and deep learning models. A Bachelor’s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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machine learning jobs Title: sr data Company: Rtx in Jersey City, NJ
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