Python Developer

Company: mthree
Apply for the Python Developer
Location: London
Job Description:

Python Developer – Front Office Technology (FX)

We are looking for a talented Python Developer to join a global FX Options Technology team with one of the leading Global Investment Banks. Based in London, you will be part of a collaborative and innovative environment, supporting the FX Options Trading business. The team focuses on developing cutting-edge solutions while transitioning from legacy systems, and this is an exciting opportunity to work on high-impact projects in a fast-paced front office environment.

Key Responsibilities:

  • Develop, deploy, and support front-office applications for Pricing, eTrading, Market Making, and Trade Booking.
  • Collaborate closely with brokers, external clients, and business partners to expand and improve electronic offerings.
  • Ensure system integration with upstream trade execution platforms and enhance systems to meet regulatory requirements (MiFID II, UMR, IMM).
  • Liaise with teams across Trading, Sales, Market Risk, and Operations to gather requirements and implement key changes.
  • Support and develop market-making tools within FX, contributing to system simplification and meeting desk needs.
  • Be part of a high-performance team delivering top-tier technology solutions to the FX Options business.

Skills & Qualifications:

  • Strong development experience in Python.
  • Experience or interest in agile methodologies (XP, SCRUM, Kanban) and continuous integration.
  • A degree in Computer Science, Physics, Engineering, or Mathematics.
  • Excellent problem-solving, analytical skills, and understanding of algorithms, data structures, and design patterns.
  • Familiarity with messaging middleware, TCP/IP networking, and large-scale distributed systems.
  • Strong communication skills and ability to collaborate with business stakeholders.
  • Interest or experience in financial products (FX, Derivatives, Options) and familiarity with FIX Protocol, FpML, or similar financial models is a plus.

Posted: April 2nd, 2025