Low-Latency FX Trading Python Engineer

mthree; England; On-site; GBP 110,000 - 180,000; Full time

Job summary

Global Banking & Markets is seeking a Python Engineer to join its Front Office FX Options Technology team, a high-impact, low-latency environment on the trading floor.

You’ll work with traders, quants and sales to deliver real-time pricing, market data pipelines and high-throughput systems where microseconds matter, directly influencing P&L.

Strong coding discipline, collaboration with business stakeholders, and a track record of production-grade systems are essential for success.

Qualifications

• Strong Python engineering expertise with a focus on performance and scalability.
• Deep understanding of algorithms, data structures, and system design.
• Solid knowledge of data engineering concepts (SQL/NoSQL, pipelines, large datasets).
• Track record of delivering production-grade systems in fast-paced environments.

Responsibilities

• Architect real-time pricing, eTrading, and market-making systems used globally.
• Design and optimise latency-sensitive trading algorithms and analytics pipelines.
• Develop high-throughput data platforms for market data ingestion and predictive modelling.
• Partner with front-office stakeholders to translate trading strategies into production systems.
• Improve market connectivity, execution performance, and system resilience.
• Drive engineering excellence across distributed systems, scalability, and performance tuning.

Skills

Python

Low latency

High performance

System design

Data engineering

SQL/NoSQL

Trading systems

Job description

Global Banking & Markets is seeking a Python Engineer to join its Front Office FX Options Technology team, a high-impact, low-latency environment on the trading floor.

You’ll work with traders, quants and sales to deliver real-time pricing, market data pipelines and high-throughput systems where microseconds matter, directly influencing P&L.

Strong coding discipline, collaboration with business stakeholders, and a track record of production-grade systems are essential for success.