Job Description
RESPONSIBILITIES- 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.
QUALIFICATIONS- 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.
Numbers & Facts
| Location | Charlotte, NC |
| Salary | $64 |
Skills
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Business Analysisunmatched
Capital Marketsunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Setsunmatched
Documentationunmatched
Documentation Modelsunmatched
Enterprise Protectionunmatched
Financial Servicesunmatched
Information/Data Security (InfoSec)unmatched
Machine Learningunmatched
Metadataunmatched
Pricingunmatched
Reconciliationunmatched
Requirements Managementunmatched
Riskunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Securitiesunmatched
Training Data Setsunmatched
Use Casesunmatched
Vendor/Supplier Selectionunmatched
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