Our client is a fast-growing quantitative investment firm leveraging advanced data science, artificial intelligence, and machine learning to drive systematic trading strategies across global financial markets. With a strong technology-first culture, the firm operates a highly collaborative environment where engineering, research, and trading teams work closely to build scalable, high-performance systems supporting a global trading platform.
Role Overview:
This is a senior leadership role responsible for building and overseeing the firm's global exchange connectivity and trading infrastructure. You will define and deliver the architecture that underpins market data ingestion, order execution, and historical data consistency across the trading lifecycle, ensuring performance, scalability, and resilience.
Key Responsibilities:
Own and evolve the architecture for global exchange connectivity, including market data ingestion and order execution systems
Design and implement a scalable, reusable framework for onboarding new markets, exchanges, and asset classes
Drive improvements in latency, reliability, monitoring, and system performance across the trading stack
Establish standards to ensure consistency between live trading, simulation, and historical data environments
Collaborate closely with trading, research, risk, and infrastructure teams to translate business needs into technical solutions
Work with external exchanges, data providers, and connectivity partners to deliver robust integration solutions
Build, lead, and mentor a high-performing engineering team, setting technical direction and delivery standards
Oversee system diagnostics, validation, and failure recovery capabilities across mission-critical trading components
Key Requirements:
Degree in Computer Science, Engineering, Mathematics, or a related technical discipline
Extensive experience designing or leading low-latency trading infrastructure, including market data and order execution systems
Strong expertise in C++ and performance-critical system development (memory management, concurrency, networking, etc.)
Deep understanding of low-latency architecture, performance optimisation, and trading system design
Proven experience building production-grade frameworks across multiple markets or asset classes
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