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Data Scientist

  • 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 is a contract role 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
Apply Now
An image of Leon
Leon Quantitative Research Manager

"There was a lot I didn't know about the 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

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.

Latest news

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NeurIPS Paper Review 2023 #5
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  • Quantitative Research
  • 23 Jan 2024

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NeurIPS Paper Review 2023 #4
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  • Quantitative Research
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Our team of quantitative researchers have shared the most interesting research presented during workshops and seminars at NeurIPs 2023. Discover the perspectives of our scientific director Dustin as he discusses his most compelling findings from the conference.

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