Experienced Crypto Quantitative Developer

NJF Global Holdings Ltd

London, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Business Change Analyst

Huntress - Maidstone Cambridge, Cambridgeshire, United Kingdom

£20 – £25 ph On-site

Head of Data and Product

Aspire Personnel Ltd Poole, Dorset, BH13 7EE, United Kingdom

£65,000 – £75,000 pa On-site

Digital Analytics Manager

TQR Consultancy Ltd London, United Kingdom

AI Trainer

We Are Zenith Hebburn, Tyne & Wear, United Kingdom

£40,000 – £60,000 pa Hybrid

Data Warehouse Manager

Reed Technology Bradford, United Kingdom

Business Intelligence Analyst

Solihull College & University Centre Solihull, West Midlands (county), United Kingdom

£37,617 – £39,478 pa

Posted: 11 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

My client is a global, technology-driven quantitative investment manager operating across liquid asset classes worldwide. They apply a rigorous scientific approach to investing and foster a highly collaborative environment where engineers, traders, and researchers work side by side to solve complex problems.

They are looking for an experienced C++ developer (3+ years) to join a high-performance crypto trading team and work directly with traders and quantitative researchers.

What you’ll be doing

Build and optimise high-frequency, low-latency crypto trading systems
Design and implement alpha generation and trading algorithms
Implement exchange-specific market rules across major crypto venues
Partner closely with traders and quants to develop research platforms and tooling

What they’re looking for

Degree in Computer Science or equivalent experience
Strong C++20/23 development skills on Linux
Passion for performance, reliability, and clean system design
Experience or interest in HPC and cloud-based environments
Good Python skills
Strong communication skills in a fast-paced, international team

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.