At a Glance
- Tasks: Join our research team to analyse market data and support clients in making informed decisions.
- Company: Neudata helps investors navigate data, saving them time and money with expert advice.
- Benefits: Enjoy flexible work options, 25+ days of leave, study days, and private medical insurance.
- Why this job: Be part of a fast-growing team shaping the future of traditional data services.
- Qualifications: Strong communication skills and a passion for data are essential; experience in market data is preferred.
- Other info: Located in a vibrant WeWork space, we value innovation and teamwork.
The predicted salary is between 28800 - 48000 £ per year.
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.
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. 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.
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 is 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 is 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 hr@neudata.co. 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.
Market Data Analyst employer: Neudata
Contact Detail:
Neudata Recruiting Team
hr@neudata.co
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Analyst
✨Tip Number 1
Familiarise yourself with the key market data providers mentioned in the job description, such as Bloomberg, Refinitiv, and S&P. Understanding their product offerings and how they cater to institutional investors will give you a solid foundation for discussions during interviews.
✨Tip Number 2
Engage with industry-related content, such as reports or webinars, that focus on traditional data services and market data analysis. This will not only enhance your knowledge but also demonstrate your enthusiasm for the field when speaking with interviewers.
✨Tip Number 3
Network with professionals in the market data space, especially those who work with institutional investors. Building relationships can provide valuable insights into the role and may even lead to referrals or recommendations.
✨Tip Number 4
Prepare to discuss specific examples of how you've engaged with data buyers or institutional clients in the past. Highlighting your experience in understanding their workflows and challenges will showcase your suitability for the Market Data Analyst position.
We think you need these skills to ace Market Data Analyst
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure your cover letter is specifically tailored to the Market Data Analyst role at Neudata. Highlight your relevant skills and experiences that align with the job description, particularly your understanding of market data and your enthusiasm for the field.
Showcase Communication Skills: Since excellent communication and writing skills are crucial for this position, ensure your application reflects this. Use clear, concise language in your CV and cover letter, and provide examples of your written work or research if possible.
Highlight Relevant Experience: In your CV, emphasise any previous experience you have in market data sourcing, research, or analysis. Mention specific tools or platforms you’ve worked with, such as Bloomberg or Refinitiv, to demonstrate your familiarity with the industry.
Express Your Willingness to Learn: Convey your eagerness to learn and grow within the role. Neudata values candidates who are curious and proactive about expanding their knowledge, so include examples of how you've taken the initiative to learn in past roles.
How to prepare for a job interview at Neudata
✨Tailor Your Cover Letter
Make sure your cover letter is specifically tailored to the Market Data Analyst role. Highlight your relevant experience with market data providers and explain why you're a great fit for Neudata's mission and values.
✨Showcase Your Research Skills
Prepare to discuss your research skills in-depth. Be ready to share examples of how you've conducted market analysis or evaluated data providers in the past, as this will demonstrate your ability to contribute to the team.
✨Understand the Competitive Landscape
Familiarise yourself with key players in the market data space, such as Bloomberg, Refinitiv, and S&P. Being able to discuss their offerings and how they compare will show your knowledge and enthusiasm for the role.
✨Demonstrate Strong Communication Skills
Since the role involves client interaction, practice articulating your thoughts clearly and concisely. Prepare to present your ideas confidently, as effective communication is crucial for building relationships with clients.