Senior Enterprise Data Management Analyst

Senior Enterprise Data Management AnalystData AnalystBoston, MAAsset ManagementJO-1901-1158Responsible for investment data controls, risk oversight and quality. Responsible for the architecture, applications, analysis and content of the firm's core data. Part of a small team, hands on role collaborating across portfolio management, research, trading and IT teams. Python and SQL experience required. Prior experience working with data in a financial services organization required.We are seeking a detail-oriented, well-organized individual for the position of Data Design Engineer. The Data Design Engineer will be part of the Investment Data Analytics (IDA) and Enterprise Data Management (EDM) teams in a highly visible position supporting and enhancing the data management operations and data control framework across all areas of the firm. Primary responsibilities include defining, designing and implementing data element/class creation/definition, data quality validation and control frameworks, tolerances, data alerts, monitoring, metrics, controls and user interfaces and visualization. This individual will work with IT to support Data Operations, the team responsible for the full range of data used throughout the firm including Investment Research Portfolio Construction, Trading, Performance, Business Development, and Client Service.Responsibilities:Synthesize data requirements into data designs, database structuresDetermine, design, implement data processing metrics, validations, controls, monitoring and alertingEnhance data provisioning abstraction layer, design and implement data visualizations and UI's for data quality oversight and controlDevelop and implement process improvements to our data infrastructure in support of our investment and research processesPartner with internal teams to fulfill data and reporting requestsQualifications:Bachelor's degree in a related field plus a minimum of 3 years of related experience or a Postgraduate degree with related experienceExpertise with industry standard investment tools such as Bloomberg or Thomson Reuters, Markit EDM and Informatica PowerCenter, or Business GlossaryPrior data management or data analyst consulting experience preferredStrong analytical and communication skillsExperience with data modeling, data management process modeling, data profilingProficient with SQL in a Microsoft SQL Server environment and strong Linux/Unix skillsExperience using programming languages such as Python and Pandas (preferred) to develop data interfacesAn interest in quantitative investment research and a passion for enterprise data management and data quality controls / validation frameworksUnderstand data fundamentals, as well as various market and economic data from multiple vendorsFamiliarity with data alignment and cohesion supporting security instrument identification and linkage/flow through business functions and systems including trading, accounting, performance and reportingPreferred familiarity with the data lifecycle within a quantitative asset manager The Ceres Group