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Mid-level generalist data role in a metro market with common skillset increases applicant competition.
Core data skills are transferable, but finance-specific vendors and domain knowledge moderately limit cross-industry fit.
Explicit 3–5 year requirement plus mandatory SQL/Excel skills make shortlisting moderately strict.
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Manage day-to-day operations linking data providers, internal systems, and stakeholders to ensure timely and accurate delivery of fund, product, index, and account reference data.
Support data ingestion, configuration, and distribution for Russell Investments' data universes including index, security, performance, and pricing data within enterprise data solutions.
Identify, escalate, mitigate, and resolve operational risks while maintaining detailed documentation and confidentiality of sensitive data.
3-5 years of experience in the financial services industry.
Strong proficiency in Excel; knowledge of SQL required; VBA or Python skills are a plus but not mandatory.
Experience with data management and analysis including basic understanding of databases, database structures, ETLs, and querying data.
Work shift: US shift (5:30 pm - 2:30 am IST) in Mumbai; Prior experience with MARKIT EDM, Bloomberg, RIMES, Morningstar or similar data providers preferred.
Experienced in financial data operations with focus on accuracy, operational risk management, and process documentation in a financial services environment.
Comfortable working in ambiguous conditions with shifting priorities and global teams across multiple time zones under US shift hours.
Demonstrated ability to independently manage complex data workflows, proactively solve problems, and maintain confidentiality in a high-stakes asset management setting.