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

Nominate & Attend

Market Data Analyst

JR United Kingdom
Slough
3 days ago
Create job alert

Social network you want to login/join with:
Neudata is hiring a Market Data Analyst to focus on helping build out its traditional data services. This is an exciting opportunity for someone who wants to join a fast-growing team, help shape a key area of our business and work directly with some of the world’s leading institutional investors.
To apply, please email your CV and cover letter to [emailprotected] . Your cover letter should clearly explain why you believe you're a strong fit for this specific role. Applications without a cover letter will not be considered.
Company
Neudata’s mission is to make life easier for people who work with data. We provide independent, objective advice to asset managers, hedge funds, and corporations to help them make smarter decisions about which datasets to use – and which to avoid. That means saving them time and money in the process.
Our expertise is in alternative data – from social sentiment feeds to credit card transactions to ESG signals – but we’re now expanding into the world of traditional and market data.
We’re headquartered in London with offices in New York and Shanghai and run a leading global conference business alongside our core research and advisory services.
Our Values
Treat everyone how we would like to be treated.
Work better together.
Do it the right way.
Be uncompromisingly honest.
Never cease to improve and innovate.
Job Description
The Market Data Analyst will join Neudata’s research team and work alongside the Market Data Lead to help grow Ranger - a new offering designed to help clients navigate traditional data sources such as Bloomberg, Refinitiv, and S&P.
This role is both client facing as well as research driven. You’ll work closely with clients to understand their data needs, analyse the competitive market data landscape, and produce actionable research that guides decision making.
Key responsibilities:
Conduct in-depth research on market data providers (e.g., Bloomberg, Refinitiv, S&P), including product offerings, pricing models, and distribution strategies.
Evaluate and map the competitive landscape, identifying differentiators across the industry.
Engage with buy-side clients (e.g., hedge funds, asset managers) to understand their traditional data workflows and challenges.
Analyse and compare market data products to assess their value and fit for various use cases.
Produce high-quality written reports, highlighting industry trends and insights.
Advise clients on key findings and market developments, tailored to their investment strategies.
Who we are looking for
We’re looking for someone who has an enthusiasm for data and is excited to learn more about how traditional and market data used by institutional investors. Given the recent launch of our new traditional data offering, Ranger, successful candidates will be eager to help drive team success.
You should have:
Excellent communication and writing skills – you can produce insightful, polished research that clients trust.
A drive to build long term relationships with traditional data providers.
A strong background in market data sourcing, research, or analysis in preferred.
Strong understanding of what market data is (e.g. exchange pricing, reference data, corporate actions data) and how it is used by institutional investors.
Knowledge of market data providers (Bloomberg, S&P, Refinitiv, etc.) and their products.
Experience engaging with data buyers and institutional clients (ideally on the buy side).
Strong time management skills evidenced from prior experience.
A willingness to learn – the successful candidate will be someone who is curious and enjoys taking the initiative to continuously learn more.
Compensation
25 days of annual leave plus an additional day for each year worked (capped at 30 days)
Flexible work from anywhere, hybrid and office-based work.
Study days.
Private medical insurance including dental, optical, and hearing.
Enhanced family policies.
Company social events.
Workplace pension scheme with salary sacrifice and pension matching opportunities.
Neudata’s London office is located in WeWork’s coworking space at Moor Place.
Recruitment Process
Typically, Neudata’s recruitment and selection process involves an initial screening and shortlisting stage where successful candidates are invited to attend virtual or in person interviews and assessments.
Candidates

must

be eligible to work in the United Kingdom.
Candidates who may require visa sponsorship should discuss this with the hiring manager during the interview process. Further information on Skilled Worker sponsorship can be found here.
If you need assistance during the application or interview process, please contact [emailprotected] to discuss how we can best support you.

#J-18808-Ljbffr

Related Jobs

View all jobs

Market Data Analyst

Market Data Analyst

Market Data Analyst Python SQL

Market Data Analyst Python SQL

Market Data Analyst

Market Data Analyst...

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 UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.