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Mid-level generalist data role, metro location, and broad skill requirements create high applicant competition.
Strong financial-services and fund/index data experience required limits cross-industry transferability.
Explicit 3–5 years and required financial-services domain experience make filters strict.
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Manage day-to-day data operations between data providers, data systems, and internal/external stakeholders ensuring accurate and timely delivery of fund, product, index, and account reference data.
Support operational ownership of data universes including index, security, performance, pricing data through initial configuration, ingestion, and distribution within enterprise data solutions.
Identify, escalate, and resolve operational risks, maintain detailed process documentation, and assist with corporate initiatives related to data operations.
3-5 years of experience in the financial services industry.
Strong computer skills with advanced proficiency in Excel and working knowledge of SQL for data querying and analysis.
Experience working with data management, data analysis, and understanding of databases, flat file formats, and ETL processes.
Shift requirement: US shift hours (5:30 PM - 2:30 AM IST).
Experienced in supporting global asset management or financial services data operations with familiarity in managing multiple data sources and systems.
Analytical problem solver comfortable with ambiguity and complex data processes, demonstrating high attention to detail and process gap identification.
Capable of managing operational risks and collaborating across global teams to deliver timely and accurate data-related services within a structured enterprise environment.