Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Developer

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer – Trading – MLOps/Python

Quantitative Developer – Trading – MLOps/Python

ESG Data Scientist

ESG Data Scientist

Software Engineer / Machine Learning Developer

Data Scientist / Model Developer - Commercial Lending

Global algorithmic hedge fund with a focus on developing high quality financial strategies across a variety of asset classes, utilising a proprietary research platform focused on market inefficiencies.

They’re seeking an experienced Quantitative Developer with great mathematical and critical-thinking skills to join a talented team. This role would be perfect for someone with a strong background and expertise with leading on system architecture and application development methodologies.

The successful candidate will be exposed to many different business areas, working directly with technologists, researchers and portfolio managers.

Requirements

Significant core Python and C++ programming skills Deep-level familiarity with Linux development environment Exposure to portfolio optimization theory and modelling Knowledge of SQL and some knowledge of machine learning & statistical optimization techniques (e.g. convex optimization) Strong academic record, with degree in a technical subject from a leading university

Rewards and Incentives

Market leading salary + lucrative bonus Opportunities to learn and develop new skills Great work/life balance Freedom in work and dynamic culture; opportunity to bring new ideas and really have an impact

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.