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Familiarity with GCP, ICH and FDA requirements as applicable for Clinical Data Management. The successful candidate will provide clinical data management oversight of outsourced clinical trials including but not limited to project management, vendor management, coordination of internal reviews, and approval of deliverables.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation. Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions.
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Python, R, SAS/SQL, Stata, etc) Very good communication skills (both verbal and written) as well as solid project management skills and ability to multitask. The successful candidate will join the Model Risk Management and Validation Group (MRM&V.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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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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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. Substantial Investment Management business domain expertise across some combination of research, portfolio management, trading and investment operations.
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Demonstrate understanding of business processes, regulatory requirements, internal control risk management, process, data and technology controls and related standards and frameworks as related to financial institutions.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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The person will work directly with stakeholders across – ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/ enhancing IT solutions for ESG reporting.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and One (1) year of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Master in Computer Science Budget Management experience Prior pharmaceutical or biotech data and analytics experiences with familiarity of commercial data sets and processes Additional Languages: R, Javascript Understanding of additional AWS services (i.e. Glue, Athena, etc.
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The Sr. Quantitative Portfolio Analyst will be responsible for supervision and implementation of quantitative portfolio management for retirement management account and non-discretionary model portfolios.
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Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements. Establish a Governance operating model for the CMDB focusing on data ownership and standards management.
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7+ years of data management and analytics experience in either banking, consulting, or cryptocurrency. Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of math, statistics, multivariate analysis, statistical tests Advanced Python coding skills Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch Understanding of numerical implementations Understanding of cloud computing Knowledge of data querying knowledge of EMG, EEG, ECG, IMU, CV algorithms Experience with C.
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data management jobs Title: analyst sr data in Boston, Anoka, Minnesota
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