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Monad Labs is looking for an exceptional quant to work on data science and machine learning problems in the blockchain space. Monad Labs is looking for an exceptional quant to work on data science and machine learning problems in the blockchain space.
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This team focuses on researching and developing low latency trading models within the liquid futures market using machine learning techniques. We seek a quantitative researcher to join our low latency trading team.
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We have a preference for candidates who have done numerate graduate work, for example in operations research, probability and statistics, signal processing, computer science, machine learning, or other numerate engineering disciplines and hard sciences.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. They will also need to be comfortable in a fast-moving organization, open-minded about learning new research methods, committed to high-quality and rigorous research, and focused on influencing the future of Meta.
$163,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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My client is one of the largest multi-strategy investment firms in the world and they are looking for a Machine Learning Quantitative Researcher for one of their Equity teams in London.
$1,000,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The particular duties encompass employing various financial and non-financial datasets to construct or refine predictive models, utilizing cutting-edge statistical and machine-learning models to amplify the effectiveness of the research and development framework, and devising algorithms to capitalize on predictive indicators for monetization purposes.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience; experience in Machine Learning, Pandas, Scikit-Learn and Numpy a plus. Quant Trading firm is looking for a Senior Quantitative Researcher to develop new and improve existing equities trading strategies.
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Join a systematic fund as a Quantitative Researcher in their venture to develop a high-frequency trading platform using machine learning and deep learning scientific techniques.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Our team is headquartered in NoMad, Manhattan, NYC. This is for a hybrid (3 days/week in office) role. Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior.
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You will apply cutting edge machine learning and artificial intelligence algorithms to vast amounts of market data to discover and capitalize on trading opportunities. In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience in building scalable machine learning pipelines for data extraction, feature engineering, model implementation, training, tuning, evaluation, and deployment. Theoretical understanding of machine learning.
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A market-leading global hedge fund is looking for a Machine Learning Quantitative Researcher to join their renowned team. Machine Learning Quantitative Researcher.
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A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP) At Farrer Capital, we foster a culture of learning and collaboration among the world's most talented investment professionals, researchers, and engineers.
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