On Site Permanent Data Science And Analytics Jobs
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Mortgage Analytics Developer
Mortgage Analytics Developer - Fixed Income and MortgagesOur client is a highly respected New York-based alternative asset manager focused on structured credit, mortgages, and asset-backed investments. The team combines deep fundamental credit expertise with sophisticated quantitative analytics and technology, providing direct exposure to portfoli...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...
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Principal Data Scientist
Principal Data ScientistProperty & Casualty InsuranceA well-established Property & Casualty insurance organization is seeking an experienced Principal Data Scientist to provide technical leadership across the full analytics lifecycle. This individual will help develop and implement scalable predictive modelling, machine learning, and AI solutions t...
Senior Product Manager Data Platforms
SummarySelby Jennings is partnering with a leading invesment manager building a next-generation enterprise data ecosystem to support advanced analytics, AI, machine learning, and data-driven business operations. As part of a newly established data platform organization, this role will be instrumental in defining and delivering scalable cloud-based ...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...
