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# Front-End Engineer

- **Company:** Award-winning Quant Fund
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Visualization, Python (Programming Language), Next.js, Data Streaming, TypeScript, WebSocket, ReactJS, Front End Software Development, Stream Processing
- **Published:** June 23, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/39758940/

## About the Role

Minimum 1 year+ experience with React, TypeScript, or Next.js
Ideally proficient in or exposed to Python
Solid Computer Science fundamentals (degree preferred but not essential)
A genuine passion for tech (evidenced by side projects, blogs, or meetups)
Strong personality and the ability to thrive in a flat, elite team structure
An innovative mindset ready to solve unique quant-related technical challenges

## Description

This is a rare opportunity to join an award-winning Quant Fund founded by Computer Scientists, where technology is the heart of the business. You will be reporting to a distinguished and highly respected Tech Lead in an environment where engineers lead engineers, ensuring zero red tape and a truly collaborative atmosphere. Based in beautiful London offices equipped with full perks (gym, food, etc.), you will join a small, elite team where your contributions have immediate and visible impact.
The Role
You will be responsible for building next-gen front-end systems that power real-time trading and bringing real-time ML insights to life. This is a high-autonomy role involving greenfield projects and a modern, evolving tech stack. You will work side-by-side with quants to turn complex mathematical models into intuitive, usable interfaces, solving unique challenges at the intersection of high finance and cutting-edge data visualization.
Key responsibilities include:

Building next-gen front-end systems powering real-time trading
Crafting interactive dashboards and research tools with live insights and streaming data
Implementing real-time data streaming and WebSocket-powered interfaces
Developing high-performance UIs for large-scale datasets and visualisations
Applying modern React patterns and performance optimisations to mission-critical apps
Collaborating with quants to industrialise complex models into intuitive interfaces


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