FO e-Trading Developer

• Develop and maintain bespoke e-trading tools and solutions for FX traders.
• Provide real-time support to the Front Office, responding to urgent trading and production issues with speed and accuracy.
• Code and enhance analytics, pricing tools, automation scripts, and workflow solutions using Python.
• Work closely with FX traders to understand requirements and translate them into effective technical solutions.
• Support and improve e-trading platforms, execution workflows, and trade lifecycle processes.
• Interact with a broad range of internal stakeholders (technology, quants, operations, risk) and occasional external stakeholders.
• Manage expectations effectively by prioritising tasks based on urgency and business impact.
• Monitor, troubleshoot, and resolve issues in live trading environments.
• Produce clear reporting and updates into the team hierarchy and management structure.
• Collaborate with the wider global trading and technology teams to ensure alignment and consistency.

We are seeking a highly capable Jnr/Mid-level Front Office E-Trading Developer to support a London-based FX trading desk within a leading financial services environment. This role sits directly within the Front Office, delivering bespoke solutions for traders while providing hands-on production support in a fast-paced, high-pressure environment.

The successful candidate will combine strong Python development skills, deep understanding of FI, SWAPS, BONDS, and other asset classes and trading processes, and a proactive, solutions-driven mindset. This role requires the ability to operate with minimal supervision while managing expectations across a diverse stakeholder group., * Strong Python development skills (mandatory). & VBA

• Solid understanding of FI markets, asset classes, and trading processes.
• Experience working in a Front Office or E-Trading environment.
• High level of mathematical and analytical ability.
• Background suited to Quantitative disciplines (e.g. Quant, Financial Engineering, Mathematics, Physics, or similar).
• Ability to work independently with minimal oversight.
• Proven experience supporting time-critical systems in a high-pressure environment.
• Strong communication skills with the ability to engage confidently with traders and senior stakeholders.

Education

• MSc or equivalent advanced degree in a quantitative field (Quant Finance, Mathematics, Engineering, Physics, Computer Science, or similar) is highly desirable.

Personal Attributes

• Proactive, resilient, and delivery-focused.
• Comfortable working in fast-moving, ambiguous environments.
• Strong problem-solving mindset with attention to detail.
• Able to balance multiple priorities while maintaining service quality.