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Quantitative Researcher – Fundamental Equity Research

  • Quantitative Research
  • London, UK

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 role

Our researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.

This requires them to harness massive compute power and use state-of-the-art ML techniques to find innovative solutions, as textbook methods won’t beat the competition.

We are looking to hire an experienced fundamental analyst, with a strong quantitative background, who is interested in transitioning to a more quantitative role, while still leveraging your industry experience.

This is a pure research role where you will be able to develop and test your ideas with real-world data in an academic environment. Using your financial knowledge and analytical skills, you will help to build mathematical models of price movements based on a broad array of data inputs.

Who are we looking for?

We are seeking individuals with a passion for, and keen interest in, financial markets. The ideal candidate will have solid quantitative and computing skills, backed up by a strong background in fundamental equity research.

For example, this might be someone already working in the discretionary space, who enjoys the mathematical and data side of things, and is interested in making the step across into the quantitative world.

In particular, we want to hear from highly motivated candidates with the following skills and experience:

  • Knowledge of financial markets from a strong career background in fundamental equity research
  • Some coding ability or the motivation to rapidly learn
  • Solid maths background gained from experience in studying maths, physics or a related STEM subject
  • Enthusiastic about making the change to a quantitative role

Why should you apply?

  • Highly competitive compensation plus annual discretionary bonus
  • Lunch provided (via Just Eat for Business) and dedicated barista bar
  • 35 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, UK
Apply Now
An image of Clement
Clement Quantitative Researcher

"My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on."

Find out more

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.

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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.

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