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At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. Bachelor's degree in Computer Science, Computer Engineering, or a related field.
$150,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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MS or PhD in Computer Science, Statistics, Applied Mathematics, Physics or other quantitative fields with focus on AI, Machine Learning, Mathematical Algorithms, Probability and Statistical Modeling.
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Education: B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer science. 2+ years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc.
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Bachelor’s degree required; major in MIS, Computer Science, Finance, Economics, Business or Financial Engineering preferred. Experience with the implementation of Energy Trading & Risk Management (ETRM) systems for natural gas & power trading.
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Responsibilities:– Architect and code FPGA designs in a hardware description language, producing design documents, performing timing analysis and floor planning, and validating and analyzing designs for errors and efficiency– Research, design and develop custom hardware for its trading teamsQualifications:– Bachelor’s Degree from a 4-year university in electrical engineering, computer science or related technical field.
Full-timeWork from homeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Team members come from varied backgrounds of finance, econometrics, statistics, mathematics, computer science and data analysis, with many versed in multiple areas. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools.
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Requirements:-Bachelor's, Master's, or PhD degree from a top-tier university in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, or a related discipline.
Starting at $250,000 - $400,000 a year (bonuses)ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong grasp of computer science fundamentals and software design patterns. BS and/or MS in Computer Science or a related field. Our researchers are at the forefront of innovation in the world of algorithmic trading.
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A Ph. D. in computer science, statistics, engineering, physics and econometrics or other quantitative science; and professional experience at a hedge fund, prop trading firm or investment bank focused on quantitative analysis, trading system development or algorithmic execution.
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MATLAB, SQL) Proven ability to perform successfully in a fast-paced, collaborative environment Excellent written and verbal communication skills A desire to continuously learn and proactively improve processes Bachelors or master’s level degree in computer science, statistics, applied mathematics, engineering, or other quantitative disciplines Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications.
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Bachelor’s degree in a quantitative or computational field such as Computer Science or Applied Mathematics. Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading and Investment Operations functions.
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Minimum education and experience required: Bachelor's degree in Mathematics, Computer Science, or related field of study plus 4 years of experience in the job offered or as a Research Analyst, Economic Analyst or related occupation.
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Bachelor’s or higher degree in Computer Science, Mathematics, Physics, Quantitative Finance, Engineering, Statistics or equivalent field, with significant coursework or equivalent experience in programming, modeling, simulation and statistical techniques.
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Bachelor's degree or higher in quantitative finance, mathematics, computer science, physics, or a related field. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance and algorithmic trading.
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Master's degree or PhD required (preferably background in Mathematics, Financial Mathematics/Engineering, Quantitative Finance, Statistics, Econometrics, Physics, computer science, or equivalent) and 2+ years' experience.
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trading computer science jobs
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