Job Specifications
What You’ll Do
Serve as a lead Business Analyst for the build-out of an enterprise Security Master covering multiple asset classes
Analyze and document reference data models including securities, instruments, issuers, identifiers, hierarchies, and relationships
Work directly with large datasets using SQL to validate data quality, perform reconciliations, and support root-cause analysis
Partner with data engineering teams to translate business requirements into logical and physical data designs
Define data lineage, ownership, and usage for market data, reference data, and capital markets transaction data
Support integration of external data sources such as ratings, indices, pricing feeds, and vendor reference data
Collaborate with AI and analytics teams on enrichment, scoring, and entity-linking use cases
Drive clarity across ambiguous data problems by aligning stakeholders on definitions, rules, and governance
Produce high-quality documentation including business requirements, data mappings, and functional specifications
What You Bring
7+ years of experience as a Business Analyst or Data Analyst within financial services
Deep, hands-on expertise with reference data and security master concepts
Strong working knowledge of capital markets data, including instruments, trades, positions, and lifecycle events
Advanced SQL skills with experience querying large, complex datasets
Experience working with market data vendors, identifiers, and symbology (e.g., securities, issuers, hierarchies)
Proven ability to partner closely with engineering, data, and product teams
Strong analytical mindset with the ability to connect disparate datasets into a coherent model
Excellent communication skills with the ability to translate complex data topics to non-technical stakeholders
Experience supporting enterprise data platforms or large-scale data modernization initiatives
Exposure to data governance, metadata management, or data quality frameworks
Familiarity with ratings, indices, or alternative data sources
Experience supporting AI or machine learning initiatives from a data definition perspective
Background working in front office, risk, or operations data environments
About the Company
Madison-Davis is a leading executive search and temporary staffing firm specializing in financial services and technology. Founded in 1982 with a single purpose: to provide top-tier talent through a strategic approach and unparalleled subject matter expertise. We pride ourselves on the relationships we cultivate and the success of our placements, and our role in building highly-skilled workforces across financial services and technology. We have partnered with more than 1,000 companies across traditional finance, decentraliz...
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