Quantitative Trading Technology Engineer – Multi-Strategy Hedge Fund – London – Up to £450k TC
A high‑performing, multi‑strategy hedge fund of around 380 people globally is in a genuine build phase across its Trading Technology platform. The firm is scaling beyond 400 people but deliberately avoiding “mega‑fund” scale, so small engineering teams still own critical systems end‑to‑end and see a direct link between what they build and P&L. Around 30 hires into Technology are planned for 2026, with a particular focus on discretionary trading tech, data, and early AI‑driven tooling.
The Role – High‑Ownership Trading Tech
You will be a senior, hands‑on engineer embedded with discretionary trading teams, owning key components of the trading stack rather than working in a distant central IT group. You will:
Example projects
Key Responsibilities
Candidate profile – research‑grade engineering
You have exceptional programming skills in Python (plus MATLAB) and are comfortable working on production systems, not just research scripts. You bring a deep quantitative toolkit – probability, statistics, optimisation and numerical methods – and you enjoy reading and implementing ideas from academic papers. You will typically have an outstanding academic record with a Master’s or PhD in a highly quantitative subject (Maths, Statistics, Computer Science, Physics, Engineering or similar) from a leading university; candidates without this background will need to demonstrate equivalent research‑level achievements in front‑office trading or risk technology. MATLAB experience is required, and familiarity with additional analytics tools (R, EViews) is a plus. Engineers on this team sit onsite with PMs and quants and largely come from research or PhD backgrounds, so you should be comfortable in a highly analytical, academic environment.
You should also have:
Why now?
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