Python Quantitative Researcher – London

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

Applied Research - Artificial Intelligence - London - Associate

Applied Research - Artificial Intelligence - London - VP

Data Scientist | Multi-Strat Hedge Fund | London

Senior Data Scientist - Fixed-Term Contract

Research Assistant, Wellcome Ecology/Data Science

Machine Learning Engineer - UK

Salary:up to £200k base + bonus

Summary

Leading HFT fund looking for a self-driven quantitative researcher to join their centralised Latency team where you will draw on your problem-solving skills and data science/statistics experience to analyse billions of collected trading data points and unearth competitive edges.

This role offers the opportunity to develop both business and technical expertise; working closely with trading teams to perform post-trade statistical analysis and identify relationships between business metrics and changes on the infrastructure technology. You’ll also investigate and design data mining and machine learning algorithms.

Unique in their field, this global firm combines the lively, positive spirit of a start-up with the stability of a longer-established player. This role would suit a curious, highly collaborative researcher who has demonstrated the ability to independently drive projects to completion.

Requirements

Minimum 2+ years’ experience Hands-on programming experience in Python with a focus on data science & analytics Sound experience in Machine Learning and Statistics Outstanding problem-solving capabilities Bonus points for experience with C++, SQL and network protocols

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

Benefits

Competitive base salary & bonus Enormous opportunity to grow, learn and have a significant business impact Contributions are rewarded; career progression supported Unique culture where you can fulfil your potential through collaboration and mutual respect

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 Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

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.

🍪 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.