Software Engineer (C#, Python) McGregor Boyall has been mandated by a quantitative investment manager who are building next-gen trading infrastructure that processes market data across multiple venues with near-zero latency. The system handles complex order types, smart order routing, and real-time risk management at scale. You'll be: Architecting trading algorithms that operate at nanosecond precision Work with cutting-edge market microstructure models Directly implementing alpha signals from quant researchers into production systems Have full ownership of critical trading infrastructure They're tackling some fascinating technical challenges: Custom memory management to achieve consistent sub-microsecond response times Real-time analytics processing across 50 global venues Implementation of sophisticated cross-asset trading strategies Preferred Requirements: C# and Python Understanding of financial markets within a quantitative setting Collaborated with Traders and Quants. Flexible working arrangements for folks that need and want it. Please apply directly for more details - probinsonmcgregor-boyall.com McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.