Job Title: Trading Connectivity Lead
Role Summary
My client is an elite prop trading firm specializing in high-frequency trading. They are looking for a Trading Connectivity Lead to form and lead the team responsible for the firm's exchange-facing trading infrastructure. This includes raw exchange market data ingestion (Feed Handlers), order entry systems (Order Entry / Gateways), and the provision of raw historical market data.
You will be involved in:
- Technical Leadership & Architecture: Own and define the strategic roadmap and system architecture for the firm's cross-market connectivity framework, making the onboarding of new asset classes and global exchanges seamless.
- Performance Engineering: Drive continuous optimization of the live trading path—focusing heavily on latency reduction, system resilience, capacity planning, and real-time monitoring.
- Standards & Data Integrity: Establish rigorous consistency standards and validation methodologies across live market data, order execution, and historical data capture.
- Team Growth & Culture: Architect the team structure, manage hiring and engineering excellence, mentor developers, and own end-to-end project delivery timelines.
- Cross-Functional Collaboration: Serve as the technical bridge between trading, quantitative research, risk, and core engineering to translate business goals into high-impact infrastructure.
Requirements
- Bachelor's degree or above in Computer Science, Financial Engineering, Mathematics, or a related quantitative or technical discipline.
- Proven experience designing or leading normalised Feed Handler and Order Entry Gateway frameworks across multiple markets.
- Strong proficiency in C++, with demonstrable experience in low‑latency system development.
- Deep knowledge of low‑latency path design and diagnostic systems for trading connectivity.
- 6+ years of relevant experience at a quantitative trading fund, exchange, market maker, or similar type of institution.
- A solid grasp of how trading infrastructure influences strategy performance, trading stability, and business outcomes, along with the ability to align requirements and priorities across trading, research, risk, and engineering teams.
