Verition→
Market Data Finance Analyst at Verition in New York, NY
Skills
Job Description
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a highly motivated Market Data Finance Analyst to join our growing firm. This role sits under the office of the CFO supporting investment teams by managing, optimizing, and scaling market data infrastructure across asset classes. The ideal candidate combines strong analytical skills with a deep understanding of financial data, vendors, and inventory management.
Key Responsibilities
- Manage relationships with market data vendors (e.g., Bloomberg, Refinitiv, ICE, FactSet), including licensing, onboarding, and cost optimization
- Partner with portfolio managers, analysts, and quants to source, onboard, and maintain high-quality datasets across equities, fixed income, commodities, and derivatives
- Oversee entitlements, usage tracking, and compliance with vendor agreements
- Monitor data quality, troubleshoot discrepancies, and implement controls to ensure data integrity
- Drive cost transparency and budgeting around market data spend; identify opportunities for consolidation and efficiency
- Support new strategy launches by evaluating and provisioning required datasets and infrastructure
- Maintain documentation of data sources, workflows, and governance processes
Qualifications
- 2–6 years of experience in market data, data operations, or a related function within a hedge fund, asset manager, or financial services firm
- Strong familiarity with major market data vendors and data products (pricing, reference data, fundamentals, alt data)
- Understanding of financial instruments across multiple asset classes
- Experience working with data delivery methods (APIs, SFTP, feeds) and basic data structures
- Proficiency in SQL and/or Python for data analysis and troubleshooting
- Strong attention to detail with a focus on data quality and control frameworks
- Ability to manage multiple stakeholders in a fast-paced, front-office environment