Front Office FX Trading Systems Engineer (Python)

mthree; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

mthree is seeking a Python Developer to join its Front Office FX Options Technology team at a leading global investment bank. You'll work closely with traders and developers to build high-performance trading systems using big data and algorithmic models to analyse and predict market behaviour in real time.

The role demands tackling complex problems, delivering business-critical projects in a fast-paced front-office environment, and collaborating with quants to integrate systems with

Qualifications

• Solid understanding of data structures, algorithms, and design patterns.
• Experience with SQL/NoSQL, APIs, and distributed systems.
• Familiarity with agile methodologies and CI/CD tools.
• Excellent communication skills and an interest in financial markets or FX trading.
• Degree in Computer Science, Engineering, Mathematics, or Physics preferred.

Responsibilities

• Design, develop, and support pricing, eTrading, and market-making systems.
• Collaborate with traders, sales, and quants to deliver performant, data-driven solutions.
• Enhance trading algorithms, data pipelines, and market connectivity.
• Integrate trading systems with upstream trade execution and regulatory platforms.
• Work within an agile team delivering high-priority solutions under tight deadlines.

Skills

Data structures & algorithms

APIs & distributed systems

Agile methodologies

Communication skills

Education

Degree in Computer Science, Engineering, Mathematics, or Physics

Tools

CI/CD tools

Job description

mthree is seeking a Python Developer to join its Front Office FX Options Technology team at a leading global investment bank. You'll work closely with traders and developers to build high-performance trading systems using big data and algorithmic models to analyse and predict market behaviour in real time.

The role demands tackling complex problems, delivering business-critical projects in a fast-paced front-office environment, and collaborating with quants to integrate systems with