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Présentation de G-Research

Londres, Angleterre (Royaume-Uni)
De 501 à 1 000 employés
Entreprise non cotée en bourse
Matériel et logiciels informatiques
Ne sait pas / non applicable
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.

Join us and ... En savoir plus

G-Research – Pourquoi nous rejoindre ?

Create today. Predict tomorrow.

G-Research is a leading quantitative research and technology firm, based in London.

We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.

We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment. 

Visit the G-Research website to find out more and apply.

Our quantitative researchers use the latest scientific techniques and advanced data analysis methods to predict the movements in global financial markets. They have the freedom, support and resources to explore a wide range of ideas, finding patterns in large, noisy real-world data sets.


Mathematical Modelling

Our technology and resources are combined to build a single, powerful platform for researching algorithmic trading strategies. We use rigorous scientific methodology, robust statistical analysis, and pattern recognition to analyse an extensive and varied financial data ecosystem, extracting deep insights from truly massive datasets. Our platform provides the ability to test your mathematical models in action and get instant results using real world data.


Inspirational Mathematicians

We pride ourselves on our supportive, intellectual culture. Most of our Researchers have joined from PhDs or Postdocs from top-tier global institutions and we have among our ranks multiple IMO medallists and Fulbright Scholars.

Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.

Cutting-Edge Technology

Our engineers are bright, creative, and happy to use their initiative when tackling technical challenges. Everyone is given the freedom to find new solutions, either by developing them in-house or using the latest approaches and systems. We have access to extensive resources to invest in top-end hardware and cutting-edge technology.

Inspirational, Collaborative Community

We have a collaborative community of specialist engineers from a wide range of backgrounds. Everyone here shares a passion for technology and works at the forefront of development, always improving our software, approach, and skill set.

Our engineers work in functional teams, creating the opportunity to see the software we have built in action and gain rapid feedback from users.

Fabian - Quantitative Researcher

"Before joining G-Research, I completed an Applied Mathematics PhD at Oxford, where I worked on modelling flows of customers inside supermarkets (in collaboration with Tesco). As a Quantiative Researcher, I work on producing forecasts of market returns using mathematical models and various data feeds.

The two biggest things that I like about working at GR 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)."



Annie - Software Engineer

"I was 2 years into my BA in Computer Science at Cambridge when I first joined G-Research as an Software Developer Intern. I then came back to G-Research after I finished my degree, returning to the data development division as a Software Developer.

I first came across G-Research at a careers fair, where I was looking for something to fill my summer and get some valuable experience. After interning here for three months I knew that I wanted to come back.

I love the fact everyone continues to learn and adapt with the changes in technology. You have the freedom to try out new technologies and find the best fit for each application. The company is also very sociable, with monthly company drinks, a summer ball, and an annual weekend away, which is a great way to meet other people around the company. This creates a very friendly work environment. "



Ross - Cloud Engineer

"I studied Computer Network Management and Design at the University of Portsmouth, following this I worked at a small UK hosting company for several years, running their OpenStack-based public cloud platform. I’ve been at GR for around 18 months and in this time I’ve been solely focused on engineering and operating an internal compute platform based on open-source software. 

My favourite thing about working at G-Research is the people. G-Research strive to hire not only the brightest minds, but good people, which in turn creates a brilliant collegiate and social atmosphere at the company."



Charlotte - Security Support Specialist Team Lead

"I studied Forensic Computing and Security at Bournemouth University and completed a placement year here at G Research in the Security Operations team.  I knew GR had access to a lot interesting and innovative technologies so I was very excited and pleased when I received the internship. After a successful year on placement, I was delighted to be offered a graduate role when I completed my degree.

Being a part of a central support team means you get to learn about multiple areas of the company and see what others teams are involved in. It’s the people here at GR which make it an amazing place to work, everyone is very helpful and nothing is too much trouble. With new technology being developed all the time there’s so many new projects to be involved in and always more to learn. "



We offer an exceptional employee package which includes:

  • Highly competitive compensation plus annual discretionary bonus
  • Informal dress code and excellent work/life balance
  • Comprehensive private healthcare and life assurance
  • 25 days holiday
  • 9% contributory pension scheme
  • Cycle-to-work scheme
  • Subsidised gym membership
  • Monthly company events and an annual company weekend away
  • Central London office close to 5 stations and 6 tube lines
  • Charity fundraising matching scheme
  • Expert guest speakers
  • Season ticket loan
  • Enhanced Maternity Leave (up to 6 months)
  • GAYE - Give As You Earn
  • Eye-care vouchers

Avis des employés G-Research

  • « Superb »

    • Équilibre travail/vie privée
    • Culture et valeurs
    • Opportunités de carrière
    • Rémunération et avantages
    • Dirigeants
    Employé actuel - Software Engineer - Londres, Angleterre (Royaume-Uni)
    Employé actuel - Software Engineer - Londres, Angleterre (Royaume-Uni)
    Point de vue positif

    Je travaille chez G-Research à plein temps


    Smart people, solid tech, a lot of freedom


    Productivity suffers due to various security measures but that's fair price to pay.

Voir les 58 avis

Entretiens chez G-Research



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  1. Utile (3)  

    Entretien de Quantitative Researcher

    Candidat à l'entretien anonyme
    Aucune offre d'embauche
    Expérience neutre
    Entretien dificile


    J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien à G-Research en août 2019.


    I had a first video interview, one 90min test on quantitative skills (math-stat-coding) and a second video interview. After these 3 they told me I did not performed good enough.
    Nice experience overall, fun problems to solve and nice and kind people in both interviews and in HR.

    I had no previous experience in interviewing for quantitative finance jobs and I have an academic background (phd+3years postdoc).

    I found it a bit strange that they put strong emphasis on being able to solve fast simple mathematical problems (high school level - math olympiad style) or coding simple python functions. In my experience as a researcher, this correlates poorly with being a good researcher (finding the right questions, fighting with hard problems for months, have reliable results).
    I felt I could have performed better in a interview like that when I was an undergraduate student.
    I think this approach is common in these types of interviews for quant jobs, but I don't find it very optimal

    Questions d'entretien d'embauche

    • - first videochat was mostly a coding interview, implementing a simple function in python (number theory inspired problem) I was also asked some stat/ml questions
      - second videochat was in math, number theory problem and some probability problems
      - test was in math, stat and coding   Répondre à cette question
Voir les 176 entretiens d'embauche

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