Job DetailExperience Level Mid LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000019252Salary Type AnnuallyIndustry Asset Management;Hedge FundSelling Points Lead impactful data initiatives in a hybrid work environment. Collaborate with cross-functional teams to deliver scalable solutions. Enhance your expertise in financial data engineering and vendor management.Job DescriptionOverviewCollaborate with cross-functional teams to deliver scalable data solutions for research and trading workflows.Lead the execution of market data strategies, ensuring high-quality datasets for operational and investment use.Analyze and remediate data quality issues, implementing scalable solutions to enhance data integrity.Manage vendor relationships, optimize contracts, and oversee licensing compliance for market data providers.Drive cross-functional data initiatives, coordinating project scope, timelines, and success metrics.Act as a bridge between business stakeholders and engineering teams to translate requirements into actionable solutions.Contribute to the development of monitoring frameworks and reporting mechanisms for data quality management.Work in a hybrid environment, combining on-site collaboration with remote flexibility.Key Responsibilities & DutiesPerform hands-on data analysis using Python and SQL to support investment workflows.Identify and address data quality issues, partnering with engineering teams for scalable solutions.Gather complex business requirements and translate them into functional specifications for data solutions.Lead cross-functional data projects, managing timelines, dependencies, and success metrics.Manage relationships with market data vendors, ensuring compliance and optimizing contracts.Monitor data usage, licensing, and entitlements, contributing to vendor strategy and cost optimization.Collaborate with investment and technology teams to enhance data acquisition and consumption processes.Develop frameworks for data quality monitoring and reporting in partnership with investment teams.Job RequirementsBachelor of Science (BS) degree in a relevant field.5-7 years of experience in data engineering or market data roles within financial services.Proficiency in Python and SQL for data analysis and problem-solving.Experience with market data vendors like Bloomberg, LSEG, and ICE Data Services.Understanding of financial markets and asset classes, including commodities and equities.Strong analytical skills and ability to balance technical and business priorities.Experience with AWS cloud environments and modern data architecture.Excellent communication and stakeholder management skills.
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