Quantitative Analyst

Spectrum IT Recruitment

London, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

PKPD Modelling Lead, London

Isomorphic Labs London, United Kingdom

PKPD Modelling Lead, Lausanne

Isomorphic Labs United Kingdom

AI Engineer - FDE (Forward Deployed Engineer)

Databricks London, United Kingdom

Senior Data Scientist

Faculty London, United Kingdom

Remote

Data Scientist

Faculty London, United Kingdom

Hybrid

Product Designer, Growth (Staff/Principal-level)

Synthesia London, United Kingdom

Remote

Posted: 12 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required:

Proficient in several of the following: Python, C#, C++, Java
Mathematical Modelling
Mathematical skills, particularly a keen understanding of probabilities and statistics
Analytic mindset
Strong communication skills
Accuracy and attention to detail
Experience in data science
An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to t...

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

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.