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Demonstrable mastery of industry best practices in the data lifecycle, including data quality automation and tooling. Substantial Investment Management business domain expertise across some combination of research, portfolio management, trading and investment operations.
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Job Description: The Role The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Hands on experience and/or real world projects in Artificial Intelligence / Machine Learning algorithms is a strong plus. Familiar with essential quantities techniques including machine learning algorithms used in financial models in a banking environment.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the application manager and product owner, to participate in business demand planning, prioritization and define implementation plans using the enterprise change management process.
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Solid understanding of BOT infrastructure and Robotic Operating Model Credential Manager, Schedulers, Code Reviews, Load Balancers, Control Room Importing/Exporting Code from one Environment to another Windows clients/Virtual machines All Relevant Master RPA certifications (Automation Anywhere or UiPath or Blue Prism.
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Expert knowledge of financial data platforms such as Bloomberg, Capital IQ, Refinitiv, WRDS, FactSet, and/or other business information platforms. Proficiency with data visualization or mapping using Tableau, ArcGIS, or coding languages.
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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Ph. D. degree in Computer Science, Machine Learning or a related field.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake. Ensure data quality and integrity throughout the process.
$120,000 - $202,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of Infrastructure-As-Code using tools like Terraform, Ansible, or Jenkins, and configuration management tools such as Puppet, Chef, or Salt. Ability to script/code in languages such as Bash, Python, PowerShell, and translate solutions into technical documentation.
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Use sound scientific understanding of chemistry and chemical engineering fundamentals and an understanding of applied kinetics, thermodynamics, and transport fundamentals, as well as familiarity with modern laboratory instrumentation, automation, and laboratory/plant implementation of process analytical technology to contribute to the team's goals.
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The Manager, CMC Operations and Program Management will lead the cross-functional activities between CMC groups and other departments at ElevateBio BaseCamp including process development, analytical development, facilities and engineering and supply chain within the scope of various programs.
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Practical knowledge of machine learning algorithms and frameworks suitable for time-series analysis and anomaly detection in signal data. Gecko is expanding our Machine Learning team to better leverage the vast data store we have collected over time.
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You may have experience with Spotfire, Tableau or other data visualization platforms. You bring previous experience with proteomics data processing and interpretation. Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts.
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machine learning data management robotic process automation jobs Title: director in Cambridge, MA
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