Back to vacancies

Quantitative Researcher – Postgraduate

Apply now View Benefits Role overview

Who are we looking for

Our benefits

The process

Why apply

Meet our people

Interview process

Quantitative Research London

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve.

Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers.

Take the next step in your career.

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 Clement Senior 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 Get to know us

What is it like working at a leading quantitative research and technology firm? Watch our video

We are G-Research, a leading quantitative research and technology firm. From our offices in London and Dallas, we bring together world class researchers and engineers in a collaborative culture that values deep exploration, methodical execution, and long-term thinking.

We apply scientific rigour, advanced machine learning, and cutting edge technology to tackle the hardest problems in finance, to predict movements in global markets.

We are hiring. Build your career and bring your ideas to life in a culture that amplifies your impact and supports your growth.

Discover where your curiosity could take you.

Open video transcript

What our people say

Peter Quantitative Research Intern "My internship was a hugely valuable experience that sharpened my skills and gave me a new perspective on building models with real-world impact."

Find out more Matteo Quantitative Research Intern "One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."

Find out more Sebastian Senior Quantitative Researcher "G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

Find out more Yang Quantitative Researcher "What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

Find out more Leon Quantitative Research Manager "There was a lot I didn't know about G-Research , so I gained insights from those who interviewed me. They all came across as intelligent, curious and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will."

Find out more Fabian Senior Quantitative Researcher "The two biggest things that I like about working at G-Research are the smart and incredibly friendly colleagues, as well as being able to strike a really good work-life balance, in contrast to a lot of the finance industry."

Find out more David Director of Open Source Development "Knowing that we make a difference to the bottom line of our business while also doing good for others in a collaborative way brings an extra layer of satisfaction to my day."

Find out more Ivan DevOps Engineer "I'm exposed to many different technologies and I get to learn the basics and then develop my skills with that technology further."

Find out more Jonathan Open Source Evangelist "Out of all the places where I've worked, it's the only place where I can say that I'm constantly learning from my colleagues. I really feel like this has made me grow a lot."

Find out more Caterina Director of Open Source Developer Experience "We have the built-in advantage of a collaborative culture, working with open source software developers who are global and come from all different kinds of backgrounds and environments." 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.

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.

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.

Learn more about G-Research

We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

Quantitative Researcher – Postgraduate

About the job