Schonfeld Market Data Analyst role managing sourcing, licensing, and entitlements of market data across global vendors for Schonfeld’s Enterprise Data team. Supports portfolio managers by managing data access and vendor relationships.
Responsibilities
Schonfeld's Enterprise Data team is looking for a Market Data Analyst to manage the sourcing, licensing, and entitlements of market data across global vendors, exchanges, and brokers. You'll support Schonfeld’s quantitative, fundamental, tactical, and macro portfolio managers in managing access to datasets across multiple asset classes and regions.
Oversee day to day user entitlements, usage tracking, and compliance with vendor agreements and exchange rules
Manage vendor relationships (Bloomberg, LSEG, etc.), including licensing, onboarding, and cost optimization
Help manage exchange audits and compliance queries, ensuring accurate usage reporting and timely resolution with vendors and internal stakeholders
Maintain inventory accuracy within the Optimize Spend platform while driving cost transparency and consolidation opportunities
Monitor data usage, troubleshoot discrepancies, and enforce data integrity controls
Maintain documentation of data sources, workflows, and governance processes
What You’ll Bring
Bachelor’s degree in finance, Accounting, or Business
2–5 years in market data, data operations, or a related role at a hedge fund, asset manager, or financial services firm
Strong analytical and problem-solving skills
Deep understanding of financial data, data vendors, and their licensing structures.
Qualification
Bachelor’s degree in finance2–5 years in market dataDeep understanding of financial dataHands-on experience with Bloomberg EMRSSQL and/or scripting experience
Required
Bachelor’s degree in finance, Accounting, or Business
2–5 years in market data, data operations, or a related role at a hedge fund, asset manager, or financial services firm
Strong analytical and problem-solving skills
Deep understanding of financial data, data vendors, and their licensing structures
Hands-on experience with Bloomberg EMRS, Refinitiv DACS, and Optimize Spend
Preferred
SQL and/or scripting experience
Enthusiasm for leveraging AI tools to improve productivity and decision-making
