Senior Market Data Expert - Investment Workflows & QA

Straive; New Jersey; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Straive is seeking a Market Data Subject Matter Expert to translate complex financial data needs into actionable data requirements and effective workflows. You will guide cross‑functional teams on market conventions, data definitions, and governance to support investment decisions and analytics.

The role emphasizes hands‑on data analysis, stakeholder collaboration, and the ability to drive data quality, validation, and automation initiatives across enterprise platforms.

Qualifications

• 10+ years in market data, reference data, or investment-data operations in finance.
• Strong knowledge of financial instruments and investment workflows.
• Fluency with market data vendors such as Bloomberg, LSEG, ICE, S&P Global, Moody’s, Fitch, MSCI.
• Bachelor’s degree or equivalent professional experience.

Responsibilities

• Lead discovery discussions and translate business challenges into clear requirements.
• Guide teams on data definitions, market conventions, and investment workflows.
• Define validation, reconciliation controls, and ensure traceability and auditability.
• Partner with technology teams to shape practical domain solutions and automated workflows.

Skills

SQL

Stakeholder engagement

Data governance

Business analysis

Communication

Analytical thinking

Root-cause analysis

Spreadsheet

Education

Bachelor’s degree in a relevant discipline

Tools

Python

Cloud platforms

APIs

Data tooling

SQL

Job description

Straive is seeking a Market Data Subject Matter Expert to translate complex financial data needs into actionable data requirements and effective workflows. You will guide cross‑functional teams on market conventions, data definitions, and governance to support investment decisions and analytics.

The role emphasizes hands‑on data analysis, stakeholder collaboration, and the ability to drive data quality, validation, and automation initiatives across enterprise platforms.