Data Scientist

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

Data scientists at G-Research bring structure to the world's financial data, refining, transforming and combining varied and rich datasets to create superior representations of the outside world in our research platform.

Collaborating closely with Quantitative Researchers and Engineers - and supported by a high-performance compute platform - you’ll analyse third-party datasets and apply your technical expertise and understanding of financial markets to integrate them effectively into our growing data estate.

Who are we looking for?

The ideal candidate will have the following skills and experience:

Strong academic credentials, including a minimum 2:1 degree or equivalent, in a quantitative subject, such as mathematics, statistics, computer science, physics or engineering
Demonstrable experience in a data science or data analysis role, with excellent performance over a number of years
Good programming skills, preferably in Python
The ability to apply foundational mathematical concepts, such as probability or statistics, to real world financial and data science problems
Outstanding problem-solving ability and strong data visualisation skills
The ability to collaborate well with others on projects

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

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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."

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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.

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What our people say

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."

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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."

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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."

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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."

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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."

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Margot HRIS manager

"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."

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Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work here."

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Alexander Software Engineer

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

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Simon Cyber Security Manager

"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research's belief in fostering growth and recognising potential."

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Mia Software Engineer

"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."

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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.