Senior Market Data Analyst security master

Boston-based, onsite role with Yoh, A Day & Zimmermann Company focused on strengthening market and security data foundations that support trading, portfolio management, performance, valuation, and reporting.

As a hands-on leader within the Central Data function, you will drive end-to-end governance of the firm’s security master and shape the future-state market data strategy. You will set standards for reference data integrity, oversee data quality and reconciliation across the front-to-back flow, and partner with Technology and Data Management leaders to modernize platforms, lineage, metadata, and control frameworks.

What you’ll do

• Own end-to-end governance of the security master, ensuring accuracy, completeness, and timeliness across equities, fixed income, derivatives, and FX.
• Define and maintain golden-source standards, including data models, identifier hierarchies (CUSIP, ISIN, SEDOL, FIGI, LEI, and internal IDs), and instrument lifecycle workflows from onboarding through retirement.
• Establish data quality controls, exception management, and reconciliation processes across the data flow, resolving breaks that impact trading, operations, accounting, and risk.
• Oversee corporate actions, pricing, ratings, classifications, and issuer/entity reference data, including legal entity hierarchies and counterparty data.
• Lead sourcing, integration, and quality assurance of real-time, intraday, and end-of-day market data feeds across asset classes.
• Manage entitlements and permissioning to ensure adherence to licensing terms and redistribution policies.
• Translate evolving investment, trading, and operational data requirements into scalable solutions with strong controls, working with the teams that consume the data.
• Monitor industry trends across new content sets, regulatory changes, and vendor product evolution to keep the firm’s capabilities aligned with business needs.
• Contribute to the broader data transformation agenda, including data quality, data governance, and AI enablement initiatives, ensuring reference and market data are fit for advanced analytics and AI use cases.
• Partner with Technology and Data Management leaders on platform modernization, lineage, metadata, and control frameworks.
• Build relationships across Research, CIO, Operations, Reporting, Risk, Finance, Compliance, and Technology.
• Create a prioritization framework and delivery roadmap to balance trade-offs and align work with business outcomes.
• Own commercial relationships with market and reference data providers, leading contract negotiation, renewals, rationalization, and cost savings opportunities.
• Own the market and reference data budget end-to-end, including forecasting, tracking actuals, and ROI tracking for new spend.

Requirements

• 7–10 years of experience in market data and/or reference data within an investment manager, hedge fund, asset owner, or comparable financial services environment.
• 3+ years management experience.
• Expertise across security master and market data domains, including strong knowledge of major market and reference data providers and their content sets across asset classes.
• Experience managing vendor relationships, with familiarity in market data licensing and usage restrictions.
• Proven ability to build cross-functional relationships with senior business stakeholders and translate needs into delivery plans.
• Experience contributing to or leading data transformation initiatives, including data quality and data governance programs.
• Deep understanding of instrument data across asset classes, including identifiers, classifications, corporate actions, and pricing.
• Excellent communication skills across business stakeholders, technologists, and vendors.
• Bachelor’s degree required (finance, economics, computer science, or related field preferred).

Tools and technologies

• Snowflake
• Databricks
• Collibra
• Alation

Benefits

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Preferred qualifications

• Exposure to private markets and alternatives reference data
• Experience contributing to AI/ML enablement from a data foundations perspective
• Familiarity with cloud-based data platforms (Snowflake, Databricks) and data governance tooling (Collibra, Alation)
• CFA, CIPM, or DAMA-CDMP certifications viewed favorably

Compensation: USD $105,000 to $150,000 per year (estimated).