eFX Platform Ops Engineer - Real-Time Trading & Automation in London

eFX Platform Ops Engineer - Real-Time Trading & Automation in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
ING

At a Glance

  • Tasks: Support and enhance a high-performance eFX trading platform with automation and real-time solutions.
  • Company: Join ING, a leading financial institution with a focus on innovation and teamwork.
  • Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
  • Other info: Experience with Azure DevOps is a plus; thrive in a global collaborative environment.
  • Why this job: Be part of a dynamic team driving improvements in the fast-paced world of finance.
  • Qualifications: 5+ years in financial markets, strong FX knowledge, and skills in SQL/Python.

The predicted salary is between 60000 - 80000 Β£ per year.

ING is seeking an OPS Functional Engineer to support Broadway, its front-office e FX trading platform, in a high-performance, real-time environment.

You will balance production support (30%) with delivery and automation (70%), driving improvements across incidents, changes and testing in a global team.

The role requires 5+ years in financial markets, strong FX knowledge, and hands-on SQL/Python testing and automation. Hybrid work and Azure Dev Ops experience are advantageous.

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eFX Platform Ops Engineer - Real-Time Trading & Automation in London employer: ING

ING is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a commitment to work-life balance, making it an ideal environment for those looking to advance their careers in the financial sector.

ING

Contact Details:

ING Recruitment Team

We think you need these skills to ace eFX Platform Ops Engineer - Real-Time Trading & Automation in London

Production Support
Real-Time Trading
Automation
Financial Markets Knowledge
FX Knowledge
SQL
Python