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PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline. Build and maintain tools and systems used throughout the quantitative research and portfolio management processes.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree) Required Skills : •5+ years of experience in data engineering or ETL development role •Experience with AWS cloud services: Redshift, S3, Athena, etc.
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Master's degree in one of the listed disciplines Data Science, Operations Research, Government Analytics, Systems Engineering, Applied Mathematics, Economics, Industrial Engineering, Mathematics, Management Science, Operational Analysis, Operations Management, Statistics, Systems Management, or related technical degree.
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Bachelor's degree in Industrial Engineering, Finance, Accounting, Information Services, Mathematics or Applied Statistics. Experience with Web Focus, FoxPro, SAP and or Visual Basic, or ERP systems.
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Bachelor's Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent; Master's Degree preferred. Experience with Kubeflow, Airflow or other workflows; Docker containerization; and managed Kubernetes systems.
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Experience with data visualization tools (e.g., Looker, Power BI) preferred but not required. Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in IT Industry.
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Bachelor’s degree in computer science, engineering, math, physics, statistics or any quantitative-focused course. Successful applicants for this position will be working closely with traders, quants and other software engineers to implement and extend the different parts of the trading infrastructure including low-latency trade execution services, tick data infrastructure, database service layers, exchange connections, back testing systems, GUIs, risk management systems, calculation and modeling engines and compliance monitoring tools.
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Rapidly growing proprietary international trading firm seeks Cryptocurrency Software Engineers to join its team to learn the landscape of Bitcoin and other digital currencies and develop systems that will contribute to our low-latency trading platform.
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Preferred qualifications:Master s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 6 years of experience working with product design, systems design, or a combination of product design and GCS sales or program management.
$141,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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CPIM, CPA or professional engineering license. CPIM, CPA or professional engineering license. Intermediate level skill in Microsoft Access (for example: designing and creating simple queries, modifying data types, adding dates, working with required fields and/or creating labels.
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A community of self-starters from multiple tech backgrounds – math, computer science, statistics, physics, engineering – they have built one of the world’s most sophisticated computing environments for research and development with data at its core.
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Masters or PhD - Quantitative field such as Statistics, Mathematics, Physics, or Engineering. Bachelors degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering.
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A Bachelor's or Master's degree in computer science, operations research, statistics, applied mathematics, management information systems, or a related quantitative field or or equivalent work experience such as, economics, engineering and physics.
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Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred. Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
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