C++ Algo Trading Engineer – Low-Latency Equities

Noir; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Noir in London is seeking a Trading Algorithm Strategist to join a global fintech team. You will design, implement and optimise high-performance algorithms for cash equities and electronic execution in a low-latency environment.

You will work with quantitative analysts and developers across time zones, focusing on Best Execution, SOR, and real-time market data handling, with a strong emphasis on reliability, scalability and code quality.

Qualifications

• Proven experience in algorithmic trading and electronic execution.
• Strong C++ programming skills and low-latency systems understanding.
• Familiarity with market data feeds and order execution.
• Experience working in Linux environments with high-throughput systems.

Responsibilities

• Design, develop and optimize high-performance trading algorithms for cash equities.
• Collaborate with quants and traders to implement best execution and SOR capabilities.
• Mentor other engineers on distributed architecture and performance testing.

Skills

C++ programming

Algorithmic trading

Quantitative trading strategies

Cash equities

Low-latency systems

High-performance computing

Smart order routing

Best execution

Market data

Order execution

Linux

TCP/IP

UDP/Multicast

Python

Distributed systems

Software architecture

Performance optimisation

Tools

C++

Python

Linux

TCP/IP

UDP/Multicast

Distributed systems

Job description

Noir in London is seeking a Trading Algorithm Strategist to join a global fintech team. You will design, implement and optimise high-performance algorithms for cash equities and electronic execution in a low-latency environment.

You will work with quantitative analysts and developers across time zones, focusing on Best Execution, SOR, and real-time market data handling, with a strong emphasis on reliability, scalability and code quality.