Research Analyst

Research Analyst

City of London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct in-depth research and write reports on alternative data trends.
  • Company: Neudata helps clients navigate the complex data landscape for informed decision-making.
  • Benefits: Enjoy flexible work options, 25 days annual leave, and private medical insurance.
  • Why this job: Join a dynamic team that values independent thought and innovation in the data industry.
  • Qualifications: Strong communication skills and a passion for data are essential; experience in investment management is a plus.
  • Other info: Work from our vibrant London office or remotely; immediate start available.

The predicted salary is between 28800 - 48000 £ per year.

This is an intellectually stimulating opportunity for anyone excited about the future of alternative data.

Neudata’s mission is to demystify the vast data landscape for our clients. We provide independent advice to asset managers and corporations, helping them, through our intelligence, to make informed decisions on datasets. In doing so, we aim to save them both time and money.

Our specialism sits in alternative data. From credit card transactional data to social media sentiment products to mobile app datasets - our goal is to ensure we communicate not only what alternative data products exist, but also why someone would want to use them.

Neudata’s research team is at the core of what we do. Clients of Neudata have access to:

  • Our research portal, allowing them to browse our catalogue of dataset reports, each of which is written by a member of the research team and pertaining to a dataset (e.g. short positions data by vendor X).
  • Our research team’s expertise, allowing us to help them make informed data decisions (e.g. through calls where we share our opinion on the most appropriate dataset for their needs).

Joining Neudata as a Research Analyst, the role will primarily entail:

  • Conducting in-depth research on alternative data providers and datasets.
  • Writing research reports on alternative datasets and industry trends.
  • Interacting with our client base, primarily through research calls and emails.
  • Gathering industry intelligence via effective relationships built through our reputation in the industry.

We will actively encourage the candidate to exercise independent thought and critical thinking and believe this to be one of the most appealing aspects of this role.

The successful candidate will have an enthusiasm for data and understand its impact to users in various industries, particularly the financial sector. Additionally, they will want to strive for success as a team and company for our clients.

To do this, they must have strong written and communication skills, enjoy relationship building and have an inquiring mindset. The analyst will spend a large portion of their workday interacting with:

  • Data buyers, by communicating our findings via research reports and calls, and
  • Data sellers, to understand the properties and potential use cases of different datasets.

The candidate is not required to have advanced knowledge or experience of data science. We are looking for someone with a hunger to become an industry expert in alternative data and an eagerness to help discover new, under the radar datasets.

Preferably, the candidate will have some knowledge of the investment management industry, including some experience. Similarly, any prior knowledge of the alternative data market is also a plus.

Compensation includes:

  • 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. (Typically, we work from the office Tuesday to Thursday).
  • 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.

Applicants must be eligible to work in the UK and should be available immediately or ASAP.

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 who may require visa sponsorship should discuss this with the hiring manager during the interview process.

If you need assistance during the application or interview process, please contact hr@neudata.co to discuss how we can best support you.

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Contact Detail:

Neudata Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Analyst

✨Tip Number 1

Familiarise yourself with alternative data sources and trends in the financial sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the industry.

✨Tip Number 2

Network with professionals in the alternative data space. Attend industry events or webinars to connect with potential colleagues and gain insights into what Neudata values in a Research Analyst.

✨Tip Number 3

Prepare to discuss how you would approach conducting research on datasets. Think about specific methodologies or frameworks you might use, as this will showcase your analytical skills and critical thinking.

✨Tip Number 4

Practice your communication skills, especially in explaining complex data concepts clearly and concisely. This is crucial for interacting with clients and will set you apart as a candidate who can effectively convey findings.

We think you need these skills to ace Research Analyst

Research Skills
Strong Written Communication
Verbal Communication Skills
Critical Thinking
Data Analysis
Relationship Building
Attention to Detail
Understanding of Alternative Data
Knowledge of Investment Management Industry
Client Interaction
Industry Intelligence Gathering
Report Writing
Enthusiasm for Data
Team Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Research Analyst role. Focus on your analytical abilities, communication skills, and any experience in the financial sector or alternative data.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for data and its impact on various industries. Clearly articulate why you want to work at Neudata and how your background makes you a suitable candidate for the role.

Showcase Your Research Skills: Demonstrate your research capabilities by including examples of past projects or reports you've worked on. Highlight your ability to gather and analyse data, as well as your experience in writing clear and concise reports.

Emphasise Relationship Building: Since the role involves interacting with clients and data providers, mention any relevant experience you have in building professional relationships. This could include teamwork, client interactions, or networking within the industry.

How to prepare for a job interview at Neudata

✨Understand Alternative Data

Familiarise yourself with the concept of alternative data and its significance in the financial sector. Be prepared to discuss various types of datasets, such as credit card transactional data and social media sentiment products, and how they can impact decision-making.

✨Showcase Your Research Skills

Demonstrate your ability to conduct in-depth research by discussing any relevant projects or experiences. Highlight your analytical skills and how you approach gathering and interpreting data, as this is a key aspect of the Research Analyst role.

✨Communicate Effectively

Since the role involves interacting with clients through calls and emails, practice articulating your thoughts clearly and concisely. Prepare to discuss how you would communicate complex data findings to clients who may not have a technical background.

✨Emphasise Team Collaboration

Neudata values teamwork, so be ready to share examples of how you've successfully worked in a team environment. Discuss your approach to collaboration and how you contribute to achieving common goals, especially in a research context.

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