Market Data Analyst
Listed on 2026-02-17
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IT/Tech
Data Science Manager, Data Security, Data Analyst
Americas
Asset Management
New York
Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.
Many of the world’s leading investors — from individuals to institutions across the globe — have entrusted Lazard Asset Management. We pride ourselves on uncovering the best investment opportunities for our clients. The purpose of our asset management business is to help our clients invest for the future — whether it’s for retirement, to grow and preserve inter-generational wealth, or to benefit the organizations that make our world smarter, healthier and more sustainable.
We are seeking a mid‑tier, experienced Market Data & Vendor Management Analyst to support Lazard’s Operations team in market data acquisition and procurement, vendor oversight, licensing management, and operational data processes. The ideal candidate brings at least three‑five years of industry experience, strong familiarity with leading data providers, security master, benchmark and general market data, as well as the ability to leverage AI‑based tools to streamline workflows and analysis.
This role partners with investment, operations, compliance, and technology teams to ensure accurate data access, cost‑effective procurement, and sound vendor governance.
- Have day‑to‑day oversight of market data and research service vendors, including SLAs, enablement, performance monitoring, entitlements, renewals, audits, and invoice review.
- Support the acquisition and procurement of market data products and research services, including scoping needs, coordinating evaluations, comparing vendor offerings, and supporting negotiations.
- Oversee data licensing terms and usage rights, including hands‑on experience with 3rd party platform licensing and entitlement management.
- Maintain and enhance security master data quality across instrument types (equities, fixed income, derivatives, structured products, etc.).
- Manage relationships and product assessments across Bloomberg, Fact Set, LSEG/Refinitiv, MSCI, Charles River/State Street, and other index, pricing, and reference‑data and service providers.
- Collaborate with Technology on feed integration, data ingestion, entitlement workflows, light troubleshooting as well as holding vendors accountable.
- Assist with instrument setup and related reference‑data processes.
- Contribute to vendor reviews, procurement planning, cost‑management strategies, and ongoing optimization of inventories and subscriptions.
- Support automation and efficiency initiatives, including responsible use and development of AI‑powered tools for summarization, documentation, workflow efficiency, and data processing.
- Maintain documentation on data sources, licensing restrictions, cost allocations, and vendor coverage.
- 3-5 years of experience in market data, vendor management, procurement, or data operations within an asset management or investment‑related organization.
- Strong knowledge of Bloomberg data licensing, entitlements, and product sets.
- Familiarity with major service providers:
Fact Set, LSEG/Refinitiv, MSCI, and Charles River/State Street. - Demonstrated experience in acquiring and evaluating market data and research services, including cost/benefit assessments.
- Solid understanding of the asset management industry, security master data structures and requirements, and coverage across a broad spectrum of traded instruments.
- Basic technical aptitude (SQL, Excel, APIs, data formats, or integration concepts).
- Experience with using AI‑powered tools to support operational efficiency.
- Strong communication, vendor‑facing, and cross‑team collaboration skills.
- Ability to manage multiple…
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