FO e-Trading Developer

Talan Group; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading financial services firm in London is looking for a Jnr/Mid-level Front Office E-Trading Developer to support their FX trading desk. This position involves developing bespoke trading tools, providing real-time support, and collaborating with traders and stakeholders in a fast-paced environment. The ideal candidate will have a strong background in Python, quantitative disciplines, and experience in a Front Office or E-Trading setting, demonstrating excellent communication and analytical skills. This is a hybrid role, requiring three days in-office each week.

Qualifications

• Solid understanding of FI markets, asset classes, and trading processes.
• Background suited to Quantitative disciplines (e.g. Quant, Financial Engineering, Mathematics).
• Experience in a high-pressure trading environment.

Responsibilities

• Develop bespoke e-trading tools for FX traders.
• Provide real-time support to the Front Office.
• Code and enhance analytics and pricing tools using Python.
• Support e-trading platforms and trade lifecycle processes.
• Monitor and resolve issues in live trading environments.

Skills

Python development skills

Strong mathematical and analytical ability

Experience in Front Office or E-Trading environment

Strong communication skills

Ability to work independently

Proven experience supporting time-critical systems

Education

MSc or equivalent advanced degree in a quantitative field

Job description

Location:London (Hybrid – 3 days per week in the office)
Sector:Financial Services – Investment Banking
Area:Front Office / E-Trading / FX
Team:London Trading Desk with Global Interaction

Role Overview

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.

Key Responsibilities

Develop and maintain bespoke e‑trading tools and solutionsfor 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.

Required Skills & Experience

Solid understanding of FImarkets, 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.