Quantitative Developer – London

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

2026 Summer Internship, Engineering & Data Science (London)

Research Fellow in Data Science

Data Science Lead

Data Scientist

Data Scientist

Senior Data Scientist (Applied AI)

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player. This leading quant firm has a fantastic opportunity on their centralised trading team where you will draw on your quantitative problem-solving skills and advanced statistical techniques to build and enhance market prediction models.

They are ideally looking for a platform engineer who has built and improved quant infrastructure.

This role is perfect for an experienced developer who can pull together all of their previous skills and expertise to lead, architect and create a platform designed to be a critical tool for this team both now and for many years in the future.

Technology is viewed as a crucial component of their continued success. The successful quant developer will be a self-starter, thrive under pressure and excel when given ownership of projects and responsibilities. Work is varied; example projects include:

Investigate and design data mining and machine learning algorithms Research modeling and forecasting future price actions Develop and improve scalable quant research frameworks using Python and C++ Serve as an advisor across a the business, providing new and innovative solutions

Requirements

3 – 8 years’ solid dev experience (in financial markets would be ideal) Strong C++, Python Experience building and improving quant infrastructure would be ideal Master’s or PhD in Mathematics, Statistics, Operations Research (or equivalent)

NB: Please do not apply if you are a fresh graduate.

Benefits

Competitive base salary & bonus They’re willing to be flexible with WFH Enormous opportunity to grow and have an impact Contributions are rewarded; career progression supported Free breakfast, lunch and dinner

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.