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We’re looking for an experienced Market Data professional who understands how market data is produced, distributed, and consumed inside trading systems. This role is not about vendor coordination alone. You are expected to understand how data moves from exchanges and vendors into internal systems, how it is used by traders and researchers, and what breaks when things go wrong. You will work closely with trading, development, and infrastructure teams to make sure market data is reliable, appropriate for its use case, and correctly governed.
Job Responsibility:
Ownership & coordination of the full lifecycle of market data: sourcing, delivery, normalization, storage, and consumption
Maintain a clear understanding of how market data feeds into trading systems, research platforms, and downstream processes
Investigate data issues across vendors, feeds, internal pipelines, and consuming systems
Act as the point of escalation for market data problems that impact trading or research
Work directly with traders and developers to understand how data is used, not just what data is requested
Translate trading requirements into concrete market data solutions
Push back on data requests when latency, quality, licensing, or cost does not align with the actual use case
Help teams understand data limitations, edge cases, and failure scenarios
Manage exchange and vendor relationships with a strong grasp of commercial terms and permitted use
Interpret licensing rules in the context of real trading system usage
Ensure data is compliant without slowing down the business unnecessarily
Manage entitlements, audits, and internal controls for market data usage
Ensure critical data dependencies are understood and documented
Reduce operational and trading risk related to market data failures
Explain technical data issues clearly to non-technical stakeholders
Requirements:
3+ years of experience in Market Data, Trading Technology, Data Engineering, or a closely related field
Direct experience working with exchange data and market data vendors
Strong understanding of how market data is used in automated trading and research systems
Strong understanding of different data types & nuances in data quality
Comfortable working with engineers and discussing system behavior and data flows
Working knowledge of SQL and Python for analysis, validation, or automation
What we offer:
A performance-based bonus structure
27 paid vacation days plus all UK public holidays
Daily breakfast and lunch, along with support on commuting expenses
Private medical insurance, pension scheme, and ClassPass fitness membership
Training and continuous learning opportunities, including access to conferences and tech events
International transfer opportunities for global career growth