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Senior Data Vendor and Sourcing Specialist

  • Quantitative Research
  • London

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.

The Team

The Data Research and Delivery team is part of G Research’s quantitative research function. We’re responsible for the company’s research data assets, overseeing the lifecycle of data products, from discovery through to supervising the commercial aspects of production. We’re the bridge between the firm’s quantitative research function and external suppliers of data.

The main functions of the team include:

  • Responsibility for the composition of the data estate, ensuring that it is well-aligned with the research division’s short and long-term requirements

  • Maintaining a knowledge base of the global financial and other related data industries, ensuring that data sources are discoverable, well-categorised, well-documented and easily available

  • Engaging proactively with the data industry to better understand and influence product roadmaps and key industry trends

  • Engaging cross-group on the operational aspects of the data lifecycle, ensuring legal and commercial requirements are efficient, compliant and scalable

The role

We are looking for a specialist in the financial data space to take a leading role in developing the team’s capabilities. Working with senior leadership in the Research division, you will be responsible for ensuring  our data environment supports our world-class research function.

Building on your established network, you will strengthen strategic ties across the industry and help drive innovation in response to the evolving data landscape. You will play an active role in ensuring data research projects progress smoothly and that communication with vendors and partners is well-coordinated.

As a senior member of the team you will lead by example, taking responsibility for mentoring and developing colleagues, and representing the team’s work in division-wide functions.

Who are we looking for?


The ideal candidate will have the following skills and experience:

  • Extensive experience in data acquisition, research and analysis within the financial industry, either in a Tier 1 bank or top buy-side institution

  • A proven track record of sourcing and acquiring financial and finance-adjacent data sets and forging long-term relationships with data vendors

  • Excellent communication and interpersonal skills with a proven ability to proactively and strategically build strong internal and external stakeholder networks

  • A creative problem-solver and strong negotiator

  • The capacity to work autonomously and collaborate in a multi-functional team, along with experience leading projects and a willingness to nurture the skills of others

  • Strong analytical and quantitative skills with proficiency in statistical software, such as Python, and data visualization tools, such as Tableau, a benefit

  • Familiarity with database management, data manipulation, data warehousing and data delivery solutions

  • Degree in Finance, Economics, Data Science, Statistics or a related field

  • A finance related post grad or professional qualification, like the CFA, is a benefit

Why should you apply?

  • Highly competitive compensation plus annual discretionary bonus

  • Lunch provided (via Just Eat for Business) and dedicated barista bar

  • 30 days’ annual leave

  • 9% company pension contributions

  • Informal dress code and excellent work/life balance

  • Comprehensive healthcare and life assurance

  • Cycle-to-work scheme

  • Monthly company events

Location: London
Apply Now
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What our people say

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Fabian Senior Quantitative Researcher

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Gabriel Software Engineer

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Yoga Software Engineering Manager

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Interview process

Online Application

Quick and easy: We will ask for your CV/resume and a few personal details like your education and contact information. Our Talent Acquisition team will review your application to see if you are a good fit and you will receive an update on the status of your application within one week of applying.

Interview preparation guide
Stage One: Online Quant Quiz

You will be asked to complete one of two quant quizzes; either a general quantitative aptitude assessment, or an ML specific one, depending on your background.

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Stage Two: Technical Interviews

Typically, you will sit four interviews, one of which will focus on in-depth technical questions in mathematics. Each interview will last one hour.

If your profile is better suited to ML, you’ll complete two one-hour interviews, which will focus on your ML knowledge, but do expect to answer questions on mathematics, programming and stats that are relevant to the ML space as well!

Stage Three: Leadership Interviews

Following the successful completion of the technical interviews, you will meet some of our leaders.

Senior Data Vendor and Sourcing Specialist Apply now

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