Market Data Lead SQL – Hedge Fund

Overview

In this Market Data Lead role, you will own data quality, delivery, and service improvement for front office users within a leading investment management environment. You will collaborate across Trading, Global Research, Middle Office, Risk and Compliance to ensure accurate, timely market and economic data supports Macro and Systematic strategies. You’ll lead data-related projects, oversee testing and QA, evaluate new data sources, and coordinate with offshore Data Operations to maintain reliable data delivery. You will drive continuous improvement and strengthen controls to serve investment teams.

Pay / Benefits

• Salary to 130k
• Significant Bonus
• Generous Pension contribution
• Life Assurance
• Critical Illness cover
• Childcare vouchers

Responsibilities

• Own data quality, delivery and service improvements for front office data needs
• Source, query and validate datasets from internal databases and third-party tick data platforms
• Lead specification, prioritisation and delivery of data projects and production changes; oversee testing, QA and approvals
• Evaluate new data sources and services for suitability, cost and implementation
• Coordinate with offshore Data Operations to validate, reconcile and update security and economic data
• Act as escalation point for complex operational data issues
• Drive continuous improvement in data accuracy, timeliness and efficiency
• Engage with data users to identify requirements and ensure timely data delivery

Key requirements

• Experience in financial services, supporting front office or market data functions
• Strong SQL and ability to query large datasets
• Understanding of financial instruments, market data, pricing and time series data
• Experience with trading, research, risk or compliance stakeholders
• Experience managing data projects, production changes, testing and QA
• Excellent analytical and problem-solving skills with strong attention to detail
• Ability to manage multiple priorities and communicate with technical and business users
• Experience with market data vendors (e.g. Bloomberg, Refinitiv, ICE or similar)

• strong communication with both technical and business users
• stakeholder engagement
• attention to detail
• SQL
• data querying large datasets
• market data concepts (pricing, time series)

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