Market Data Analyst

Neudata; London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

Neudata is seeking a Market Data Analyst to join their research team. This role focuses on researching traditional data services and working with leading institutional investors. Candidates should have excellent communication skills and a strong enthusiasm for data, with experience in market data sourcing being highly desirable.

Benefits

25 days of annual leave plus additional days for each year worked

Flexible work from anywhere options

Study days

Volunteering day

Employee referral bonus scheme

Private medical insurance including dental and optical

Enhanced family policies

Company social events

Workplace pension scheme

Qualifications

• Strong background in market data sourcing or analysis.
• Excited to learn about traditional and market data used by institutional investors.
• Experience engaging with institutional clients (buy side) preferred.

Responsibilities

• Conduct research on market data providers (e.g., Bloomberg, Refinitiv).
• Engage with buy-side clients to understand data workflows.
• Produce high-quality written reports highlighting industry insights.

Skills

Communication

Research

Time Management

Job description

Market Data Analyst, Full Time, London.

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 [e-mail]. 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

• Deliver outstanding service.
• 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

• Competitive base salary.
• 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.
• Volunteering day.
• Employee referral bonus scheme.
• Private medical insurance including dental, optical, and hearing.
• Enhanced family policies.
• Company social events.
• Workplace pension scheme with salary sacrifice and pension matching opportunities.

Contact Us

To apply please submit your CV to [e-mail]

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 [e-mail] to discuss how we can best support you.