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Quantitative Researcher - Postgraduate

  • 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 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.

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.

Machine Learning College

ML College is an established, in-house learning programme at G-Research. It’s designed to develop our researchers into fully-fledged machine learning practitioners through a world-class, custom curriculum.

ML College is exclusive to new and existing Quantitative Researchers at G-Research, so if you join us in this role you’ll be able to take advantage of a learning experience tailored to accelerate your knowledge and expertise in machine learning quickly and effectively.

Find out more about the G-Research ML College.

Who are we looking for?

The ideal candidate will have:

  • An interest in applying mathematical concepts to real-world financial problems
  • An interest in implementing theoretical insights as working code
  • A Masters or PhD degree (or be working towards one) in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineering
  • Previous financial experience is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here

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
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.

Download PDF
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.

Latest news

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