National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Market Data Analyst

eFinancialCareers
Greater London
1 week ago
Applications closed

Related Jobs

View all jobs

Market Insights Data Analyst

Data Analyst

Product Data Analyst

Consumer Research & Data Analyst

Data Analyst

Data Analyst Apprentice

B Posted byRecruiter

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the mostplex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

We're looking for a Market Data Analyst to join our Market Services team in London to support the selection, onboarding,pliance and oversight of market data across the firm.

Your future role within QRT includes:

Managing contracts and maintaining an accurate database of current and historical agreements Updating the inventory system with pricing records, usernames, departments, and other key data Leading vendor relationships, including handling day-to-day queries and information requests Supporting regulatory requirements, including month-end reporting to exchanges Assisting with the development and adoption of new tooling to improve team efficiency Contributing to a wide range of market data-related projects Ensuring clear links between contracts, pricing records, and user banding limits Preparing documentation and materials for audits as needed Processing and reconciling market data invoices accurately and in line with the procurement cycle

Your present skillset:

Bachelor’s degree inputer Science, Business, or a related field 1–3 years of experience in market data Familiarity with exchanges and vendors ( LSE, NYSE, Bloomberg, FactSet, Refinitiv) Exposure to permissioning systems such as DACS or EMRS Strong Excel skills, with the ability to analyse and clearly present large datasets Excellent attention to detail and accuracy in data handling Strongmunication skills, with the ability to summarise and explain information clearly Familiarity with inventory systems such as MDM and access control processes is a plus

QRT is an equal opportunity employer. We wee diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Job ID 1145

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.