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Strong Tier-1 brand and metro location increase competition, balanced by niche senior fixed-income data specialization.
Highly industry-specific fixed income index and reference-data expertise limits cross-industry transferability.
Explicit 8–10 years plus mandatory fixed-income data, SQL/Python, and domain expertise make filters highly restrictive.
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Serve as subject matter expert for fixed income reference data, security attributes, pricing, ratings, and analytics throughout the index lifecycle.
Support design, implementation, and enhancement of fixed income index methodologies via data analysis and governance.
Ensure accuracy and fitness of critical datasets supporting index research, construction, rebalancing, and production workflows.
8-10 years of experience in asset management, fixed income markets, index management, reference or market data, or financial analytics.
Bachelor's degree or higher in Finance, Financial Engineering, Data Science, Mathematics, Technology, or related discipline.
Strong knowledge of fixed income securities, benchmark indices, bond mathematics, yield, duration, spread, credit risk, and reference data.
Proficiency in SQL and basic knowledge of Python, Snowflake, Power BI, or Alteryx.
Experienced in detailed analysis of large fixed income datasets to translate index methodologies into business rules and data specifications.
Skilled in data quality control design, root cause analysis, and cross-team collaboration with technology and vendors to resolve complex data issues.
Familiar with index construction, rebalancing processes, fixed income benchmark management, and financial data vendors like Bloomberg and Refinitiv.