Overview In this role you will develop and optimize advanced data platforms to support analytics and investment strategies within a leading financial services team. You will collaborate with cross-functional groups to tailor data solutions, enhance pipelines for scale and reliability, and ensure secure handling of financial datasets. Your work will empower investment professionals with insights derived from robust data and innovative processing. This is a growth-focused, collaborative role where you help shape data-driven decision-making in a dynamic environment. Compensation / Benefitsprofessional growth opportunitiescollaborative environment ResponsibilitiesDesign and implement scalable data platforms to manage diverse financial datasetsDevelop automation tools to streamline data pipeline operationsCollaborate with investment teams to understand and fulfill complex data requirementsUtilize timeseries databases for storage, querying, and analysisBuild and maintain data quality tools for validation and error detectionInvestigate data discrepancies and coordinate with providers for resolutionIntegrate alternative and unstructured data sources into the data platformContribute to innovative solutions to derive actionable investment insights Key requirementsBachelor&type=Computer Science or related fieldMinimum of 5 years of experience in software development and data engineeringProficiency in Python and SQLStrong communication skills for cross-team collaborationKnowledge of financial products such as options and swaps is advantageousFamiliarity with AWS ecosystem and streaming pipeline technologies preferredExperience with OLAP platforms and timeseries databases beneficialUnderstanding of Bloomberg and FactSet data vendors is a plusstrong communicationcross-functional collaborationproblem-solvingPythonSQLAWS ecosystem
Not specified in the original listing.
Not specified in the original listing.
