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Senior Market Data Analyst security master

Yoh, A Day & Zimmermann Company Boston, MA

Boston, MA

Today

$105k - $150k/yr Full time Senior Alation Cloud

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Job Description

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).

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