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Trading Desk Operations Engineer – Quant Trading

Job in London, Greater London, W1B, England, UK
Listing for: Quant Capital
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Software Engineer
Job Description & How to Apply Below
Trading Desk Operations Engineer – Quant Trading
2026 Start Our client is a top-tier global proprietary trading firm that leverages the latest technology, sophisticated algorithms and deep knowledge to trade in capital markets globally.

This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart entrepreneurial people deeply interested in the sector who are ready to teach what they know.

We are looking for 2026 graduates of juniors with sub-2 years of experience and the ability to deal with quick, difficult maths problems. You will interface with various groups within the business to ensure that all trades are reflected accurately in all systems. Specifically, the Trading Desk Engineer Operations Engineer will be involved with research, rapid development execution of trade orders, automation of processes, and personal projects.

This position sits directly in a trading team and is a highly sought-after role. The role requires close collaboration with the traders, researchers and technical parts of the business to best align technical solutions with the schedules and analytic needs of various strategies.

This is a role for someone with a strong level of applied mathematics or engineering with an interest in solving problems and working in a fast-paced, rewarding environment.

Trade Desk Operations Engineer MUST have:

STEM degree from a top ranked University with exceptional gradesA at A-level Maths or equivalent

Excellent problem solver

Strong attention to detail

Logical thought processes

An interest in coding with some fundamental skills in one language (VBA, Ruby, Go, Lua, Scala, Python or C++ or OO Language)
An appetite for delivering solutions to complex problem

My client is based in London
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