Referece Data Operations Analyst

Job Title: Reference Data Operations Analyst / Reference Data Analyst Comp: 150-500k total compensation (candidate dependent) Ideal YOE: 3-15 years Summary: A successful hedge fund is looking to bring on a qualified candidate in the reference data operations or data analysis space. A qualified candidate will have experience with reference and market data as well as SQL/Python. ResponsibilitiesTroubleshoot and resolve data discrepancies, monitor vendor SLAs, and communicate data issues to internal stakeholders.Implement proactive measures to identify and resolve data issues automatically.Handle internal client requests and inquiries, ensuring transparent support and leading communication on any SLA breaches.Assist in the onboarding of new datasets, validation rules, and user interface improvements, as well as participate in testing.Discover, source, validate, and drive the on-boarding of new data-sets that enable unique investment opportunities, working across internal teams and external vendorsCreate and maintain internal data library that collates information internally and externally on an ongoing basis Work with technologists, project managers, and business analysts to deliver reference data system upgradesDevelop and document standardized processes for data support, monitoring, and quality assurance.Collaborate with global team members to ensure seamless transitions between support regions.Follow and maintain a daily playbook of operational procedures and controlsCapture all metadata feeding into an Incident Management program for all reference data issuesProduce operational reports for team and management reviews on a regular basisQualificationsExperience in financial services, asset management, or hedge funds with a focus on data operation and reference data support.Expertise in reference data content from common financial service data providers such as Bloomberg, Refinitiv, Barra, FactSet, etc.Experience troubleshooting and resolving data issues, along with experience in engaging with data consumers.Programming skills in SQL and Python.Experience working with large data sets.Strong analytical and problem-solving skills, with a keen attention to detail.Desired Skills and Experiencereference data market datapricing data eod pricing financial services python sqlclient datasecurity mastersecurity data pnl

Created: 2025-02-09